Method, device, storage medium and electronic equipment for simulating jailbreak attack risk test

Abstract

The application discloses a method and device for testing a simulated jailbreak attack risk, a storage medium and an electronic device. The method comprises the following steps: obtaining a simulated jailbreak attack risk test prompt word for a large model to be verified; extracting a simulated jailbreak characteristic behavior keyword and determining corresponding extended content description of the simulated jailbreak characteristic behavior keyword by using an auxiliary risk test large model based on the simulated jailbreak attack risk test prompt word; obtaining a guided risk reply prompt word by generating a large model guided reply based on the extended content description; generating a target simulated jailbreak attack risk test prompt word for the large model to be verified based on the guided risk reply prompt word and the extended content description; and performing a simulated jailbreak attack risk test on the large model to be verified according to the target simulated jailbreak attack risk test prompt word. The application can help the defense party to research and develop more accurate defense measures, thereby improving the defense capability against jailbreak attacks.

Description

Technical Field

[0001] This application relates to the field of computer technology, specifically to a method, apparatus, storage medium, and electronic device for simulating jailbreak attack risk testing. Background Technology

[0002] As large-scale modeling technology penetrates deeply into various key fields, its role as a core carrier for intelligent decision-making and content generation is becoming increasingly prominent. However, while empowering these technologies, large-scale models face escalating security threats. Among these threats, jailbreaking attacks, capable of breaking through pre-set security constraints and bypassing content moderation mechanisms, have become one of the main risks jeopardizing the secure operation of large-scale models.

[0003] Currently, jailbreak attacks are characterized by diversified attack methods and complex triggering scenarios. Attackers use various methods to induce large models to output malicious content, leak sensitive information, or perform unauthorized operations, which not only damages the functionality and reliability of large models, but may also lead to a series of serious consequences.

[0004] There are significant shortcomings in the response system to large-scale jailbreak attacks in related technologies. Most research focuses on passive defense, lacking proactive analysis and pattern summarization of the attacks themselves. Furthermore, the industry has not yet formed a systematic jailbreak attack scheme generation mechanism. Scattered attack cases are difficult to fully cover the security vulnerabilities of large-scale models, making it difficult for defenders to accurately optimize their protection strategies.

[0005] Against this backdrop, there is an urgent need to build a scientific system for generating jailbreak attack schemes. By actively generating jailbreak attack schemes, targeted attack samples can be provided for large-scale model security testing, helping defenders to research and develop more precise defense measures, thereby improving the large-scale model's ability to defend against jailbreak attacks. This is of great significance for ensuring the safe and stable operation of large-scale models. Summary of the Invention

[0006] This application provides a method, apparatus, storage medium, and electronic device for simulating jailbreak attack risk testing, which can help the defender to research and develop more precise defense measures, thereby improving the defense capability against jailbreak attacks.

[0007] In a first aspect, embodiments of this application provide a method for simulating jailbreak attack risk testing, including:

[0008] Obtain risk warning words for simulated jailbreak attacks against the large model to be verified; Based on the simulated jailbreak attack risk test prompts, the auxiliary risk test big model is used to extract simulated jailbreak feature behavior keywords and determine the extended content descriptions corresponding to the simulated jailbreak feature behavior keywords. Based on the extended content descriptions, the big model guides the response to generate guided risk response prompts. Based on the guided risk response prompts and the extended content descriptions, the target simulated jailbreak attack risk test prompts for the big model to be verified are generated. Based on the target simulated jailbreak attack risk test prompts, the large model to be verified is subjected to simulated jailbreak attack risk test processing.

[0009] In some implementations, the step of extracting simulated jailbreak characteristic behavior keywords and determining the corresponding extended content descriptions based on the simulated jailbreak attack risk test prompts using an auxiliary risk testing large model, generating guided risk response prompts based on the extended content descriptions, and generating target simulated jailbreak attack risk test prompts for the large model to be verified based on the guided risk response prompts and the extended content descriptions, includes: The auxiliary risk testing model is used to perform text parsing on the simulated jailbreak attack risk test prompts to obtain the simulated jailbreak characteristic behavior keywords of the simulated jailbreak attack risk test prompts. The auxiliary risk testing model expands the simulated jailbreak feature content based on the simulated jailbreak feature behavior keywords, generates expanded content descriptions for the simulated jailbreak feature behavior keywords, and generates guided response prompts based on the semantic features of the expanded content descriptions. The auxiliary risk testing model combines the guiding risk response prompts with the extended content descriptions to generate target simulated jailbreak attack risk test prompts for the simulated jailbreak attack risk test prompts.

[0010] In some implementations, the auxiliary risk testing model is used to perform text parsing processing on the simulated jailbreak attack risk test prompts to obtain simulated jailbreak characteristic behavior keywords of the simulated jailbreak attack risk test prompts, including: Based on the aforementioned auxiliary risk testing model, the simulated jailbreak attack risk test prompts are segmented into multiple word units. Part-of-speech identification is performed on multiple lexical units to filter out noun lexical units whose part of speech is noun; The simulated jailbreak feature semantic matching process is performed on the noun vocabulary unit to obtain the simulated jailbreak attack risk test prompt words and simulated jailbreak feature behavior keywords.

[0011] In some implementations, the step of expanding the simulated jailbreak feature content based on the simulated jailbreak feature behavior keywords using an auxiliary risk testing model to generate expanded content descriptions for the simulated jailbreak feature behavior keywords includes: The simulated jailbreak behavior attributes, implementation methods, and application scenarios corresponding to the simulated jailbreak feature behavior keywords are determined by the auxiliary risk testing model. Based on the simulated jailbreak behavior attributes, the simulated jailbreak behavior implementation method, and the simulated jailbreak behavior application scenario, determine the target expansion dimension corresponding to the simulated jailbreak feature behavior keywords; Based on the target expansion dimension, the text content of the keywords of the simulated jailbreak characteristic behavior is expanded to obtain an expanded content description.

[0012] In some implementations, the step of expanding the text content of the keywords representing the simulated jailbreak behavior based on the target expansion dimension to obtain an expanded content description includes: If the target expansion dimension is determined to be the simulated jailbreak behavior attribute and the simulated jailbreak behavior implementation method, then the text content of the simulated jailbreak feature behavior keywords is expanded based on the simulated jailbreak behavior attribute and the simulated jailbreak behavior implementation method to generate an expanded content description; If the target expansion dimension is determined to be a simulated jailbreak behavior application scenario, then the text content of the simulated jailbreak characteristic behavior keywords is expanded based on the simulated jailbreak behavior application scenario to generate an expanded content description.

[0013] In some implementations, the step of generating guidance risk response prompts based on the semantic features described in the extended content using a large model includes: Based on the auxiliary risk testing big model, semantic features are extracted from the extended content description to obtain the semantic elements corresponding to the extended content description and explicit expressions of simulated jailbreak behavior. Based on the semantic elements, a legitimate task representation method is determined for the explicit representation of the simulated jailbreak behavior, and an implicit representation of the simulated jailbreak behavior is generated for the explicit representation of the simulated jailbreak behavior. Based on the implicit representation of the simulated prison break behavior, a large-scale model is used to generate guided responses and obtain risk response prompts.

[0014] In some implementations, the step of performing simulated jailbreak attack risk testing on the large model to be verified based on the target simulated jailbreak attack risk test prompts includes: Based on the target simulated jailbreak attack risk test prompts, a simulated jailbreak attack risk test is performed on the large model to be verified. If the simulated jailbreak attack risk test is determined to be a successful attack, then the target simulated jailbreak attack risk test prompt word is identified as the target potential simulated jailbreak risk scheme. Based on the target's potential simulated jailbreak risk scheme, the large model to be verified is processed to prevent jailbreak attacks.

[0015] Secondly, embodiments of this application also provide a device for simulating jailbreak attack risk testing, comprising: The acquisition module is used to acquire risk warning words for simulated jailbreak attacks against the large model to be verified; The processing module is used to extract simulated jailbreak feature behavior keywords and determine the extended content descriptions corresponding to the simulated jailbreak feature behavior keywords using an auxiliary risk testing model based on the simulated jailbreak attack risk test prompt words; generate guided risk response prompt words based on the extended content descriptions; and generate target simulated jailbreak attack risk test prompt words for the large model to be verified based on the guided risk response prompt words and the extended content descriptions. The testing module is used to perform simulated jailbreak attack risk testing on the large model to be verified based on the target simulated jailbreak attack risk test prompts.

[0016] Thirdly, embodiments of this application also provide a computer-readable storage medium storing a computer program thereon, which, when run on a computer, causes the computer to execute the simulated jailbreak attack risk testing method provided in any embodiment of this application.

[0017] Fourthly, embodiments of this application also provide an electronic device, including a processor and a memory, wherein the memory has a computer program, and the processor executes a simulated jailbreak attack risk testing method as provided in any embodiment of this application by calling the computer program.

[0018] Fifthly, embodiments of this application also provide a computer program product containing instructions that, when the computer program product is run on a computer or processor, cause the computer or processor to execute the simulated jailbreak attack risk testing method provided in any embodiment of this application.

[0019] The technical solution provided in this application involves obtaining simulated jailbreak attack risk test prompts for a large-scale model to be verified. Based on these prompts, an auxiliary risk testing model is used to extract simulated jailbreak characteristic behavior keywords and determine the corresponding extended content descriptions. Based on the extended content descriptions, a large-scale model-guided response is generated to obtain guided risk response prompts. Based on these prompts and the extended content descriptions, a target simulated jailbreak attack risk test prompt is generated for the large-scale model to be verified. Finally, a simulated jailbreak attack risk test is performed on the large-scale model to be verified according to the target prompts. By extracting jailbreak features and generating extended content descriptions, and combining these with the guided risk response prompts to construct target test prompts, this application can recreate the core characteristics and behavioral logic of real jailbreak attacks, constructing test instructions that are closer to actual combat. This allows for a comprehensive and accurate identification of jailbreak attack risk points in the large-scale model to be verified. Therefore, this application can assist defenders in researching and developing more precise defense measures, thereby improving their ability to defend against jailbreak attacks. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 An exemplary system architecture diagram of a method for simulating jailbreak attack risk testing provided in this application embodiment.

[0022] Figure 2 This is a flowchart illustrating a method for simulating jailbreak attack risk testing, provided in an embodiment of this application.

[0023] Figure 3 This is a schematic diagram illustrating a process for generating target simulated jailbreak attack risk test prompts based on simulated jailbreak attack risk test prompts, as provided in an embodiment of this application.

[0024] Figure 4 This is a schematic diagram illustrating a process for preventing jailbreak attacks on a large model to be verified based on target simulated jailbreak attack risk test prompts, as provided in an embodiment of this application.

[0025] Figure 5 This is a schematic diagram of the structure of the simulated jailbreak attack risk testing device provided in the embodiments of this application.

[0026] Figure 6 This is a schematic diagram of a first structure of an electronic device provided in an embodiment of this application.

[0027] Figure 7 This is a schematic diagram of a second structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0028] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the protection scope of this application.

[0029] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0030] This application provides a method for simulating jailbreak attack risk testing. The execution entity of this method can be the jailbreak attack risk testing device provided in this application, or an electronic device integrating the jailbreak attack risk testing device. The jailbreak attack risk testing device can be implemented in hardware or software. The electronic device can be any device equipped with a processor and possessing processing capabilities, such as mobile electronic devices with processors like smartphones, tablets, PDAs, and laptops, or fixed electronic devices with processors like desktop computers, televisions, and servers.

[0031] Please see Figure 1 , Figure 1 An exemplary system architecture diagram of a method for simulating jailbreak attack risk testing provided in this application embodiment.

[0032] like Figure 1 As shown, the system architecture may include electronic device 10, network 20, and server 30. Network 20 serves as the medium for providing a communication link between electronic device 10 and server 30. Network 20 may include various types of wired or wireless communication links, such as wired communication links including fiber optic cables, twisted-pair cables, or coaxial cables, and wireless communication links including Bluetooth communication links, Wireless-Fidelity (Wi-Fi) communication links, or microwave communication links, etc.

[0033] Electronic device 10 can interact with server 30 via network 20 to receive messages from server 30 or send messages to server 30, or electronic device 10 can interact with server 30 via network 20 to receive messages or data sent to server 30 by other users. Electronic device 10 can be hardware or software. When electronic device 10 is hardware, it can be various electronic devices, including but not limited to smartwatches, smartphones, tablets, laptops, and desktop computers. When electronic device 10 is software, it can be installed in the electronic devices listed above, and it can be implemented as multiple software programs or software modules (e.g., to provide distributed services), or it can be implemented as a single software program or software module, without specific limitations.

[0034] Server 30 can be a business server providing various services. It should be noted that server 30 can be either hardware or software. When server 30 is hardware, it can be implemented as a distributed server cluster consisting of multiple servers, or as a single server. When server 30 is software, it can be implemented as multiple software programs or software modules (e.g., used to provide distributed services), or as a single software program or software module; no specific limitations are made here.

[0035] In this embodiment, the electronic device 10 can obtain simulated jailbreak attack risk test prompts for a large model to be verified, extract simulated jailbreak feature behavior keywords and determine the extended content descriptions corresponding to the simulated jailbreak feature behavior keywords using an auxiliary risk test large model based on the simulated jailbreak attack risk test prompts, generate guided risk response prompts for the large model based on the extended content descriptions, generate target simulated jailbreak attack risk test prompts for the large model to be verified based on the guided risk response prompts and the extended content descriptions, and perform simulated jailbreak attack risk test processing on the large model to be verified according to the target simulated jailbreak attack risk test prompts.

[0036] It should be understood that Figure 1 The number of electronic devices, networks, and servers shown is merely illustrative; any number of electronic devices, networks, and servers can be used as needed. Of course, the system architecture provided in this application may not include servers; that is, servers are optional in the system architecture provided in this application.

[0037] Next, please refer to Figure 2 , Figure 2 This is a flowchart illustrating a method for simulating jailbreak attack risk testing provided in this application embodiment. The specific flow of the method for simulating jailbreak attack risk testing provided in this application embodiment is as follows: S110. Obtain the risk test prompts for simulated jailbreak attacks against the large model to be verified.

[0038] Among them, the large model to be verified refers to the target large language model that needs to be tested for jailbreak attack risks. It is the test object of this method and is used to verify its security protection capabilities when facing simulated jailbreak attacks.

[0039] Among them, the simulated jailbreak attack risk test prompts refer to pre-constructed initial test texts used to trigger potential jailbreak vulnerabilities in the large-scale model to be verified, serving as the basic input material for conducting risk tests. Their sources include user-initiated jailbreak attack test requirement texts, real jailbreak attack case texts collected from publicly available online channels, standardized test texts generated based on a jailbreak attack feature library, and optimized test texts generated iteratively through historical jailbreak attack data. These prompts must possess the core behavioral characteristics of jailbreak attacks, providing the basic input for subsequent feature extraction and command generation.

[0040] Specifically, this step involves acquiring initial materials for conducting jailbreak attack risk testing. Through methods such as pre-setting, collecting, or generating, initial test prompts capable of simulating real jailbreak attack behavior are obtained. These prompts must possess the core characteristics of a jailbreak attack, providing basic input for subsequent feature extraction and command generation, ensuring the test's relevance and effectiveness.

[0041] S120. Based on the simulated jailbreak attack risk test prompt words, an auxiliary risk test large model is used to extract simulated jailbreak feature behavior keywords and determine the extended content descriptions corresponding to the simulated jailbreak feature behavior keywords. Based on the extended content descriptions, a large model guided response is generated to obtain guided risk response prompt words. Based on the guided risk response prompt words and the extended content descriptions, a target simulated jailbreak attack risk test prompt word is generated for the large model to be verified.

[0042] Among them, the auxiliary risk testing big model refers to an auxiliary big language model specifically used for jailbreak attack feature analysis, content expansion and guide word generation. It has the ability to extract jailbreak features, semantic expansion and guide command generation, and is the core tool for performing feature processing and command generation in this method.

[0043] Among them, the keywords of simulated jailbreak characteristic behavior refer to the keywords extracted from the risk test prompts of simulated jailbreak attacks that can characterize the core behavioral patterns of jailbreak attacks. They are a concise expression of the essential characteristics of jailbreak attacks.

[0044] The extended content description refers to the detailed text generated after semantic expansion based on keywords of simulated jailbreak characteristics. It fully presents the specific behavioral logic, technical details and implementation scenarios of jailbreak attacks, and is a concrete supplement to the core characteristics.

[0045] Among them, the guiding risk response prompt refers to the guiding text generated based on the extended content description, used to drive the large model to be verified to perform jailbreak attack-related operations. Its core function is to transform the static extended content description into dynamic instructions that can trigger a model response. Simply put, the guiding risk response prompt is to make the model misinterpret the jailbreak attack intent as a normal task intent, thereby triggering subsequent execution. This guiding risk response prompt is also called an inducement prompt, which is a generated prompt used to semantically connect the detailed description to the executable operation.

[0046] Among them, the target simulated jailbreak attack risk test prompt refers to the final test instruction generated by combining the guiding risk response prompt and the extended content description. It is a complete test text that combines the core features of jailbreak with execution guidance and is used to directly launch simulated attack tests on the large model to be verified.

[0047] This step involves generating target simulated jailbreak attack risk test prompts for the large-scale model to be verified based on the simulated jailbreak attack risk test prompts. It comprises three progressive sub-processes, transforming the initial prompts into final test commands. First, using the simulated jailbreak attack risk test prompts as input, the semantic analysis capabilities of the auxiliary risk testing model are used to extract keywords representing the core behaviors of jailbreak attacks—the simulated jailbreak characteristic behavior keywords. Then, based on these keywords, semantic expansion is performed to generate detailed extended content descriptions, fully reconstructing the specific behavioral logic and technical details of the jailbreak attack, avoiding the loss of core features. Next, based on the extended content descriptions, the auxiliary risk testing model generates guiding risk response prompts. The core function of these guiding risk response prompts is to establish a semantic connection between the extended content descriptions and the executable operations of the large-scale model to be verified, transforming the static jailbreak behavior descriptions into guiding commands that can drive the model's response. Finally, the guiding risk response prompts and the extended content descriptions are integrated to generate the target simulated jailbreak attack risk test prompts. The target simulates jailbreak attack risk test prompts, which retain the core characteristics and detailed logic of jailbreak attacks, while also providing guidance to drive the model's execution. These prompts are test instructions that can effectively trigger potential vulnerabilities in the large model to be verified.

[0048] S130. Perform a simulated jailbreak attack risk test on the large model to be verified based on the target simulated jailbreak attack risk test prompt.

[0049] Among them, the simulated jailbreak attack risk test processing refers to the process of inputting the target simulated jailbreak attack risk test prompts into the large model to be verified, observing and analyzing the model's response results, and identifying whether the model has jailbreak vulnerabilities, the type of vulnerabilities, and the risk level.

[0050] Specifically, this step involves performing risk detection on the large model to be verified using the final generated test instructions. This means inputting the target simulated jailbreak attack risk test prompts into the large model, obtaining the model's response, and analyzing the response to determine whether the model successfully executed jailbreak attack-related operations, whether security vulnerabilities exist, and further identifying the type, risk level, and triggering conditions of the vulnerabilities. This provides data support for optimizing subsequent defense measures.

[0051] In practice, this application is not limited by the execution order of the described steps. Without causing conflicts, some steps may be performed in other orders or simultaneously.

[0052] As described above, the simulated jailbreak attack risk testing method provided in this application obtains simulated jailbreak attack risk test prompts for a large-scale model to be verified. Based on these prompts, it uses an auxiliary risk testing model to extract simulated jailbreak characteristic behavior keywords and determines the corresponding extended content descriptions. Based on the extended content descriptions, it generates guided risk response prompts for the large-scale model. Based on these prompts and the extended content descriptions, it generates target simulated jailbreak attack risk test prompts for the large-scale model to be verified. Finally, it performs simulated jailbreak attack risk testing on the large-scale model to be verified according to these target prompts. By extracting jailbreak features and generating extended content descriptions, and combining these with guided risk response prompts to construct target test prompts, this application can recreate the core features and behavioral logic of real jailbreak attacks, constructing test instructions that are closer to actual combat. This allows for a comprehensive and accurate identification of jailbreak attack risk points in the large-scale model to be verified. Therefore, this application can assist defenders in researching and developing more precise defense measures, thereby improving their defense capabilities against jailbreak attacks.

[0053] Next, please refer to Figure 3 , Figure 3 This document provides a flowchart illustrating the process of generating target simulated jailbreak attack risk test prompts based on simulated jailbreak attack risk test prompts, as provided in an embodiment of this application. Specifically, in step S120, which involves extracting simulated jailbreak characteristic behavior keywords using an auxiliary risk testing model based on the simulated jailbreak attack risk test prompts and determining the corresponding extended content descriptions, generating guided risk response prompts based on the extended content descriptions, and generating target simulated jailbreak attack risk test prompts for the large model to be verified based on the guided risk response prompts and the extended content descriptions, the process may include the following steps: S1210. The auxiliary risk testing model is used to perform text parsing on the simulated jailbreak attack risk test prompts to obtain the simulated jailbreak characteristic behavior keywords of the simulated jailbreak attack risk test prompts. Among them, text parsing processing refers to the process of assisting the risk testing big model in performing semantic analysis, syntactic decomposition and feature extraction on the input text. The core is to extract key information representing the core intent and behavioral characteristics from the original text (i.e., the prompts for the simulated jailbreak attack risk test) to provide a foundation for subsequent processing.

[0054] Specifically, in this step, the auxiliary risk testing model performs text parsing on the simulated jailbreak attack risk test prompts. Through semantic analysis and syntactic decomposition, it identifies and extracts key information that characterizes the core behavioral patterns of jailbreak attacks, forming keywords representing the simulated jailbreak's characteristic behaviors. The purpose of this step is to remove redundant information from the initial prompts, condense the essential characteristics of jailbreak attacks, and provide accurate core basis for subsequent content expansion and prompt generation.

[0055] S1220. Based on the simulated jailbreak characteristic behavior keywords, the auxiliary risk testing big model performs simulated jailbreak characteristic content expansion processing to generate expanded content descriptions for the simulated jailbreak characteristic behavior keywords, and generates guided response prompts based on the semantic features of the expanded content descriptions.

[0056] Among them, the simulated jailbreak feature content expansion processing refers to the process of semantic extension, detail supplementation and scenario enrichment based on the extracted simulated jailbreak feature behavior keywords of the auxiliary risk testing model. The aim is to transform the condensed keywords into text content containing complete behavioral logic and technical details.

[0057] Specifically, in this step, firstly, the auxiliary risk testing model expands the simulated jailbreak feature content based on keywords of simulated jailbreak behavior. Through semantic extension, detail supplementation, and scenario enrichment, the condensed keywords are transformed into expanded content descriptions containing complete jailbreak behavior logic, technical details, and implementation scenarios, ensuring the completeness and concretization of jailbreak attack features. Secondly, based on the semantic features of the expanded content description, the auxiliary risk testing model generates guided responses, constructing guiding text that can drive the model to be verified to perform jailbreak attack-related operations—that is, guided risk response prompts. The core function of these prompts is to establish a semantic connection between the expanded content description and the executable operations of the model to be verified, transforming the static description of jailbreak behavior into dynamic instructions that can trigger a model response.

[0058] S1230. Using the auxiliary risk testing model, the guiding risk response prompt and the extended content description are concatenated to generate the target simulated jailbreak attack risk test prompt for the simulated jailbreak attack risk test prompt.

[0059] Among them, the splicing generation refers to the process by which the risk testing big model, according to the preset text combination rules, orderly integrates the guiding risk response prompts and extended content descriptions to form a target test instruction with a complete structure and coherent semantics.

[0060] Specifically, in this step, the auxiliary risk testing model, according to preset text combination rules, systematically concatenates the guiding risk response prompts and extended content descriptions to form a structurally complete, semantically coherent, and actionably guided target simulated jailbreak attack risk test prompt. This instruction retains the core behavioral characteristics and detailed technical logic of a jailbreak attack while also possessing the guiding capability to drive the response of the large-scale model under test. It is a complete test text capable of effectively triggering potential jailbreak vulnerabilities in the large-scale model under test, providing precise input instructions for subsequent simulated jailbreak attack risk testing. This application achieves successful jailbreaking by increasing the indistinguishability between jailbreak prompts and normal prompts.

[0061] In one example, the auxiliary risk testing large model can be trained using the following steps: 1. Obtain the basic large model, and create an initial auxiliary risk test large model based on the basic large model for simulated jailbreak attack risk test scenarios; Among them, the basic large model refers to the pre-trained large language model with general natural language processing capabilities. It is the basic model for building the initial auxiliary risk test large model. It has core capabilities such as text understanding, semantic analysis, and content generation, and can be adapted to specific task requirements through scenario-based fine-tuning.

[0062] For example, the basic large model can adopt a generative large language model with strong text generation capabilities, such as Gemini-2.5-flash, GPT-3, GPT-4, ChatGPT, etc.; or it can adopt a coding large language model with strong semantic encoding and feature extraction capabilities, such as BERT, RoBERTa, etc., to enhance the model's feature parsing and semantic matching capabilities.

[0063] 2. Obtain sample simulated jailbreak attack risk test prompts and label the sample simulated jailbreak attack risk test prompts with target simulated jailbreak attack risk test prompt tags; 3. Based on the sample simulation of jailbreak attack risk test prompts, train the initial auxiliary risk test model at least once. 4. During the forward propagation training of the model, the initial auxiliary risk test large model is controlled to extract simulated jailbreak feature behavior keywords from the sample simulated jailbreak attack risk test prompts and determine the extended content descriptions corresponding to the simulated jailbreak feature behavior keywords. Based on the extended content descriptions, the large model guides the response to generate guided risk response prompts. Based on the guided risk response prompts and the extended content descriptions, the predicted target simulated jailbreak attack risk test prompts for the large model to be verified are generated. 5. During the backpropagation training of the model, the prompt word generation loss is determined based on the predicted target simulated jailbreak attack risk test prompt words and the target simulated jailbreak attack risk test prompt word labels. The model parameters of the initial auxiliary risk test large model are adjusted based on the prompt word generation loss until the initial auxiliary risk test large model meets the model end training conditions, and then the model training ends, resulting in the auxiliary risk test large model.

[0064] Specifically, the prompt generation loss is calculated using a preset model loss formula based on the predicted target simulated jailbreak attack risk test prompt words and the target simulated jailbreak attack risk test prompt word labels. This preset model loss formula can employ one or more fitting techniques, such as contrastive loss, cross-entropy loss, and hinge loss.

[0065] Optionally, the training termination conditions for the initial auxiliary risk testing model may include, for example, the loss function value being less than or equal to a preset loss function threshold, or the number of iterations reaching a preset threshold. Specific training termination conditions can be determined based on actual circumstances and are not specifically limited here.

[0066] In some implementations, when performing text parsing processing on the simulated jailbreak attack risk test prompts using an auxiliary risk testing model to obtain the simulated jailbreak attack risk test prompts' simulated jailbreak characteristic behavior keywords, the following steps may be included: (11) Based on the auxiliary risk test big model, the simulated jailbreak attack risk test prompt words are segmented into multiple word units. Among them, word segmentation refers to the process by which the auxiliary risk testing model breaks down the continuous simulated jailbreak attack risk test prompt text into independent, semantically meaningful smallest lexical units according to preset language rules, laying the foundation for subsequent part-of-speech recognition and feature matching.

[0067] In this step, the auxiliary risk testing model uses its built-in word segmentation algorithm to break down the continuous simulated jailbreak attack risk test prompts into multiple independent lexical units according to natural language grammar rules and semantic logic. This step strips away the continuous format of the text, breaking the integrity of the original text, enabling subsequent precise analysis on individual semantic units and avoiding interference from redundant text in the extraction of core features.

[0068] (12) Perform part-of-speech identification on multiple lexical units and filter out noun lexical units whose part of speech is noun; Among them, the lexical unit refers to the independent semantic unit obtained after word segmentation. It is the basic element that constitutes the original test prompt words and can cover different parts of speech such as nouns, verbs, and adjectives.

[0069] Among them, part-of-speech tagging refers to the process by which the risk testing big data model judges the grammatical attributes of each segmented lexical unit, clarifies the part-of-speech category of each lexical unit, and selects words that meet the requirements.

[0070] Among them, noun lexical units refer to lexical units whose grammatical attributes are determined to be nouns after part-of-speech identification. These lexical units are usually key carriers that represent things, objects of behavior, or core characteristics.

[0071] In this step, the auxiliary risk testing model performs part-of-speech (POS) identification on all lexical units obtained from word segmentation, judging the grammatical attributes of each lexical unit and distinguishing different types such as nouns, verbs, and adverbs. Considering that jailbreak attack features are mostly represented by nouns, lexical units with noun speech are selected, while other lexical units without core feature representation are eliminated. This focuses on potential core feature carriers, improving the accuracy and efficiency of subsequent processing.

[0072] (13) Perform simulated jailbreak feature semantic matching processing on the noun vocabulary unit to obtain the simulated jailbreak feature behavior keywords of the simulated jailbreak attack risk test prompt words.

[0073] The simulated jailbreak feature semantic matching process refers to the process by which the auxiliary risk testing model compares and correlates selected noun lexical units with a pre-set jailbreak attack feature semantic library to accurately identify words related to the core behaviors of jailbreak attacks. The jailbreak attack feature semantic library is a pre-constructed semantic set containing various core features, behavioral patterns, and related words of jailbreak attacks, providing a standard basis for feature matching of noun lexical units.

[0074] In this step, the auxiliary risk testing model compares and semantically correlates the selected noun units with a pre-defined semantic database of jailbreak attack features, determining whether each noun unit belongs to the core behavioral representation vocabulary of a jailbreak attack. Through semantic matching, noun units irrelevant to jailbreak attacks are eliminated, retaining only those words that accurately represent the core behavioral patterns of jailbreak attacks. This ultimately forms keywords simulating jailbreak characteristic behaviors, providing precise core evidence for subsequent content expansion processing.

[0075] In some implementations, when performing the simulated jailbreak feature content expansion processing based on the simulated jailbreak feature behavior keywords using the auxiliary risk testing big model to generate expanded content descriptions for the simulated jailbreak feature behavior keywords, the following steps may be included: (21) Determine the simulated jailbreak behavior attributes, simulated jailbreak behavior implementation methods and simulated jailbreak behavior application scenarios corresponding to the simulated jailbreak feature behavior keywords through the auxiliary risk testing big model; Among them, the simulated jailbreak behavior attributes refer to the core characteristics of the simulated jailbreak attack behavior itself. It is a classification and definition of the essence of jailbreak behavior, such as stealth, bypassing filters, and privilege breakthrough, and is used to clarify the core purpose and nature of jailbreak behavior.

[0076] Among them, the simulated jailbreak implementation method refers to the specific technical means and operation path to achieve a simulated jailbreak attack. It is a concrete description of the jailbreak execution process, such as command nesting, text spoofing, and contextual inducement.

[0077] Among them, simulated jailbreak behavior application scenarios refer to the specific environments and usage scenarios in which simulated jailbreak attacks can occur. Combined with actual application scenarios, the triggering conditions and suitable scenarios for the attack are clarified, such as office document interaction, multi-round dialogue communication, task command issuance, etc.

[0078] In this step, the auxiliary risk testing model can perform deep semantic analysis on keywords representing simulated jailbreak behaviors based on a pre-defined jailbreak attack behavior knowledge base. It clarifies the core characteristics of each keyword (i.e., the attributes of the simulated jailbreak behavior), the specific execution methods (i.e., the implementation methods of the simulated jailbreak behavior), and the applicable application environment (i.e., the application scenarios of the simulated jailbreak behavior). This step breaks through the limitations of keyword conciseness, constructing a complete behavioral cognitive framework around the keywords. This provides comprehensive information support for subsequently determining expansion dimensions, ensuring that the expanded content does not deviate from the core characteristics of jailbreak attacks.

[0079] It should be noted that the pre-built jailbreak attack behavior knowledge base is a pre-constructed and stored structured knowledge set used to support the large-scale risk testing model in parsing, matching, and expanding jailbreak attack-related content. This knowledge base is centered on the core characteristics of jailbreak attacks, integrating information such as the attributes, implementation methods, application scenarios, typical language, technical details, and related vocabulary of various jailbreak attack behaviors to form a standardized knowledge system. Its construction sources include publicly available jailbreak attack cases, verified jailbreak attack patterns, technical documents in the security research field, and effective data accumulated from historical testing. It can be continuously updated and iterated according to actual needs, providing a unified judgment basis and reference standard for the large-scale risk testing model's semantic parsing, feature matching, and content expansion.

[0080] (22) Determine the target expansion dimension corresponding to the simulated jailbreak feature behavior keywords based on the simulated jailbreak behavior attributes, the simulated jailbreak behavior implementation method and the simulated jailbreak behavior application scenario; Among them, the target expansion dimension refers to the direction and scope of text expansion determined based on the attributes, implementation methods and application scenarios of simulated jailbreak behavior. It is the core framework for expanding the content of keywords, ensuring that the expanded content is comprehensive and targeted.

[0081] In this step, the auxiliary risk testing model integrates and analyzes the identified attributes, implementation methods, and application scenarios of simulated jailbreak behaviors, extracting expansion directions that can cover the entire behavior chain and forming target expansion dimensions. For example, based on permission breakthrough attributes, command nesting implementation methods, and office document scenarios, three target expansion dimensions can be identified: attribute explanation, method details, and scenario adaptation. This step clarifies the scope and direction of content expansion, avoiding content redundancy or missing core information during the expansion process, and ensuring that the expanded content is logically clear and hierarchically distinct.

[0082] (23) Based on the target expansion dimension, the text content of the simulated jailbreak feature behavior keywords is expanded to obtain an expanded content description.

[0083] In this step, the auxiliary risk testing model expands the dimensions according to the determined target, and performs semantic extension and detail supplementation on the keywords of simulated jailbreak characteristic behaviors in each dimension, transforming the condensed keywords into complete text containing explanations of behavioral attributes, details of implementation methods, and application scenario adaptations.

[0084] For example, by expanding on keywords related to instruction nesting from three dimensions—hidden attributes, multi-level nesting methods, and office document scenarios—a detailed text covering the purpose of the action, the operational process, and the applicable environment is formed. This ultimately generates an extended content description, providing a complete semantic foundation for the subsequent generation of risk response prompts.

[0085] In some implementations, when performing the text content expansion of the simulated jailbreak characteristic behavior keywords based on the target expansion dimension to obtain the expanded content description, the following steps may be included: (31) If the target extension dimension is determined to be the simulated jailbreak behavior attribute and the simulated jailbreak behavior implementation method, then the text content of the simulated jailbreak feature behavior keywords is expanded based on the simulated jailbreak behavior attribute and the simulated jailbreak behavior implementation method to generate an extended content description; When the auxiliary risk testing model determines that the target expansion dimension only includes the attributes of simulated jailbreak behavior and the implementation method of simulated jailbreak behavior, it will focus on these two core dimensions, semantically extending and supplementing details around the keywords of simulated jailbreak characteristic behaviors. During the expansion process, the core characteristics of the jailbreak behavior corresponding to the keywords are first explained, clarifying the specific connotation of the behavioral attributes. Then, the technical means and operational paths to achieve this behavior are broken down, and the key steps of the implementation method are refined, so that the expanded text not only clearly defines the essential purpose of the jailbreak behavior but also visualizes the execution process. For example, for keywords with nested instructions, expansion is carried out based on the concealment attribute, combined with the implementation method of multi-level instruction stacking, forming text covering the behavioral purpose and operational details. Finally, an expanded content description focusing on the core technical logic is generated, providing accurate semantic support for the subsequent generation of risk response prompts.

[0086] (32) If the target extension dimension is determined to be a simulated jailbreak behavior application scenario, then the text content of the simulated jailbreak feature behavior keywords is expanded based on the simulated jailbreak behavior application scenario to generate an extended content description.

[0087] When the auxiliary risk testing model determines that the target expansion dimension is a simulated jailbreak behavior application scenario, it will use the specific application environment as the core framework and combine simulated jailbreak characteristic behavior keywords to expand the scenario for scenario adaptability. During the expansion process, the focus is on associating the actual interaction logic and triggering conditions of the scenario, integrating the keywords into the corresponding scenario's business process, and supplementing the behavioral adaptation details in the scenario. This ensures that the expanded text fits the context and operating habits of real application scenarios. For example, for text spoofing keywords, if the application scenario is office document interaction, the specific presentation form and usage scenarios of text spoofing in office documents will be expanded around document editing, content transmission, and other scenario processes. This will generate expanded content descriptions with a sense of scenario immersion, ensuring that subsequent test commands are closer to real attack scenarios and improving the success rate of triggering vulnerabilities in the large model.

[0088] In some implementations, this application also provides two selectable detail types as directions for text content expansion: a first detail type, DGA-OS (ObservableSigns), and a second detail type, DGA-CS (CorrespondingStory). DGA-OS details are observable signs related to keywords, while DGA-CS details are stories based on the corresponding keywords. Both detail types require the use of a large model for detail generation and specific prompts. The specific prompts for each type can be called based on the auxiliary risk testing model to generate DGA-OS and DGA-CS details respectively, thereby expanding the text content of keywords related to simulated jailbreak behavior and generating extended content descriptions.

[0089] Among them, the specific prompts of the first detail type, DGA-OS, revolve around keywords representing simulated prison break behaviors, generating "directly observable, concrete, and non-narrative" behavioral signs, technical manifestations, and external morphological details, focusing on "what it is and what characteristics it exhibits." For example, corresponding prompts could be: "Based on given keywords representing simulated prison break behaviors, generate corresponding observable sign-type details, highlighting the implementation steps of the prison break behavior, the external manifestations of technical means, and the captureable features in the interaction process, ensuring that the details are objective and concrete, directly corresponding to the external representation of the attack behavior, and avoiding fictional plots." or "Generating observable signs of prison break behavior around specified keywords, covering three dimensions: operational performance, technical characteristics, and implementation traces, providing only objective descriptions without narrative content."

[0090] The second detail type, DGA-CS, uses specific prompts based on keywords representing simulated jailbreak behaviors. It constructs a coherent story with a "scene, process, and logical loop," integrating keywords into the behavioral chain of a specific scenario, focusing on "in what scenario, how it happens, and how a complete behavioral chain is formed." For example, corresponding prompts could be: "Based on specified keywords representing simulated jailbreak behaviors, generate corresponding story details. A background consistent with common application scenarios such as office work and conversations must be set. Construct a complete story chain including behavioral triggering conditions, implementation process, interaction process, and result presentation. Subtly integrate jailbreak behavior characteristics into the plot, ensuring the story's logic is coherent and fits the context of a real attack scenario." or "Create a scenario-based story detail around a given keyword, covering the scene background, behavioral process, and logical loop, naturally embedding the behavior corresponding to the keyword, with the plot fitting a real application scenario," etc.

[0091] In some implementations, the process of generating guidance risk response prompts by performing large-model guidance response based on the semantic features described by the extended content may include the following steps: (41) Based on the auxiliary risk test big model, semantic features are extracted from the extended content description to obtain the semantic elements and explicit expressions of simulated jailbreak behavior corresponding to the extended content description; Among them, semantic elements refer to the core semantic information extracted from the extended content description. They are the basic elements that constitute the logic of jailbreak behavior, covering the core purpose of the behavior, key technical points and core relationships, and are used to anchor the core semantics of the extended content description so as not to deviate.

[0092] Among them, explicit descriptions of simulated jailbreak behavior refer to straightforward descriptions in extended content that directly point to jailbreak attack behavior and have clear attack characteristics. These are easily identified as risky content by large models and need to be converted for compliance.

[0093] Specifically, in this step, the auxiliary risk testing model conducts deep semantic analysis on the extended content description. On the one hand, it extracts the core semantic elements supporting the jailbreak behavior logic, locking in essential information that cannot be lost. On the other hand, it identifies explicit expressions of simulated jailbreak behavior that directly represent jailbreak attacks and possess obvious risk characteristics. This step achieves semantic decomposition of the extended content description, clarifying the core items to be retained and those to be transformed, providing a precise basis for subsequent expression transformation and guide word generation, ensuring that both the core testing logic is preserved and risky expressions are avoided from being directly identified.

[0094] (42) Based on the semantic elements, determine the legal task expression method for the explicit expression of the simulated prison break behavior, and generate the implicit expression of the simulated prison break behavior for the explicit expression of the simulated prison break behavior. Among them, the legitimate task description refers to a neutral description that is semantically related to the explicit description of the simulated jailbreak behavior, but has no attack target and conforms to normal business logic and scenarios. It is used to replace the explicit description to achieve compliance packaging.

[0095] Among them, the implicit expression of simulated jailbreak behavior refers to the text generated after replacing the explicit expression with a legitimate task expression, retaining the core semantic elements of the extended content description, while hiding the attack characteristics and presenting it as a normal task expression form.

[0096] Specifically, in this step, the auxiliary risk testing model uses the extracted semantic elements as a benchmark to ensure that the transformation does not deviate from the core logic. For the identified explicit descriptions of simulated jailbreak behavior, it matches them with legitimate task descriptions that conform to normal business scenarios and have no attack intent. Through replacement, rewriting, and other processing, the explicit descriptions are transformed into implicit descriptions of simulated jailbreak behavior that retain the core semantics and hide attack features. This makes the text appear as a normal task description, thus avoiding the risk identification mechanism of the large model and laying a compliant semantic foundation for the subsequent generation of guidance instructions.

[0097] (43) Based on the implicit expression of the simulated prison break behavior, a large model is used to generate a guided response to obtain the guided risk response prompt words.

[0098] Specifically, in this step, the auxiliary risk testing model generates guiding text instructions based on implicit expressions of simulated jailbreak behavior, combined with the response logic of the model to be verified. These instructions, using implicit expressions as their semantic foundation, drive the model to be verified to perform related operations according to the hidden core jailbreak logic. Furthermore, because they employ compliant expression formats, they effectively trigger the model's response without being directly intercepted, ultimately forming guiding risk response prompts and providing a crucial guiding vehicle for the generation of subsequent target testing instructions.

[0099] It should be noted that the response logic of the large model to be verified refers to the way the large model understands the input text, the triggering conditions for the action, and the rules for generating the output content. The guiding risk response prompts must be compatible with the response logic of the large model to be verified so that the large model to be verified can perform simulated jailbreak attack-related operations, thereby completing the risk test.

[0100] Next, please refer to Figure 4 , Figure 4 This application provides a flowchart illustrating a process for preventing jailbreak attacks on a large model to be verified based on a target simulated jailbreak attack risk test prompt. Specifically, when performing step S130, which involves conducting a simulated jailbreak attack risk test on the large model to be verified based on the target simulated jailbreak attack risk test prompt, the following steps may be included: S1310. Perform a simulated jailbreak attack risk test on the large model to be verified based on the target simulated jailbreak attack risk test prompt words; Among them, simulated jailbreak attack risk testing refers to the process of inputting the target simulated jailbreak attack risk test prompts into the large model to be verified, observing and judging whether the model performs jailbreak attack-related operations and whether it breaks through the security protection mechanism. It is the core means of identifying jailbreak risks of the model.

[0101] A successful attack means that the large model to be verified, after receiving the target simulated jailbreak attack risk test prompt, did not trigger effective security interception, and generated corresponding response content or executed jailbreak attack-related operations according to the jailbreak attack logic implied in the prompt, indicating that the model has the corresponding jailbreak vulnerability.

[0102] In this step, the generated target simulated jailbreak attack risk test prompts are input into the large-scale model to be verified, fully simulating the triggering process of a real jailbreak attack. The response content, actions, and security interception status of the large-scale model to be verified are recorded. By comparing the actual response of the model with the preset expected jailbreak attack results, it is determined whether the model has breached security protection and whether it has performed jailbreak attack-related operations. This completes the preliminary detection of the jailbreak risk of the model and provides raw test data for subsequent risk assessment and handling.

[0103] S1320. If the simulated jailbreak attack risk test is determined to be a successful attack, then the target simulated jailbreak attack risk test prompt word is identified as the target potential simulated jailbreak risk scheme. Among them, the target potential simulated jailbreak risk scheme refers to the target simulated jailbreak attack risk test prompt words that have been determined to be successful through testing. It is a specific attack scheme that can effectively trigger the large-scale jailbreak vulnerability to be verified, and provides accurate risk basis for subsequent jailbreak attack prevention and handling.

[0104] In this step, the test results of S1310 are evaluated. If the large model to be verified does not trigger effective security interception, and generates a response or performs related operations according to the jailbreak attack logic implied in the prompt, the attack is considered successful. At this point, the prompt for the target's simulated jailbreak attack risk test is marked and identified as a potential simulated jailbreak risk scheme. This clarifies that the scheme is a specific attack form that can effectively trigger the jailbreak vulnerability in the model, providing a precise risk target for subsequent targeted jailbreak attack prevention.

[0105] S1330. Based on the target potential simulated jailbreak risk scheme, perform jailbreak attack prevention processing on the large model to be verified.

[0106] Among them, the anti-jailbreak attack processing refers to the security hardening and vulnerability patching operations performed on the large model to be verified based on the identified potential jailbreak risk schemes. The aim is to eliminate the jailbreak vulnerabilities corresponding to the model and improve the model's defense capabilities against similar jailbreak attacks.

[0107] In this step, based on the target potential simulated jailbreak risk scheme, we analyze the core characteristics, implementation methods, and triggering conditions of the jailbreak vulnerability that the scheme triggers. Targeted jailbreak attack prevention measures are then formulated and implemented. Specifically, this includes optimizing the model's security interception rules, adding logic for identifying and intercepting this type of jailbreak attack characteristics; fine-tuning the model's training to enhance its ability to identify and reject similar jailbreak attack intentions; and supplementing the model's security protection scenarios to cover the attack scenarios corresponding to this risk scheme. Through these processes, the jailbreak vulnerability corresponding to the large model to be verified is eliminated, the model's defense effect against similar and derivative jailbreak attacks is improved, and a closed loop from risk identification to security hardening is achieved.

[0108] Based on the simulated jailbreak attack risk testing method described above, in order to make it easier for those skilled in the art to understand and implement the technical solution of this application, an example is given below in combination with a practical application scenario: S1. Define the risk test prompt for simulated jailbreak attacks as follows: First extract The keywords representing simulated prison break behaviors are transformed into noun phrases and denoted as follows: This keyword extraction operation can be denoted as... ,in This is a keyword extraction function. For example, this keyword extraction operation can be implemented using a large language model with a prompt word that includes keyword extraction rules and examples. This large language model could be an auxiliary risk testing model.

[0109] S2. After extracting the keywords, you can choose how to expand the content, that is, how to construct the details. For example, you can use the following two methods to construct details: DGA-OS (Observable Signs) and DGA-CS (Corresponding Story). The former means using observable signs as details, while the latter means creating a related story as details.

[0110] S3. After selecting the detail type, use the specific prompts corresponding to that detail type to generate details using the auxiliary risk testing model. This step can be formally represented as: ,in To support the large-scale risk testing model, Represents the type of detail. This represents the detailed description of the generated content. These represent keywords representing simulated jailbreak characteristics obtained through step S1.

[0111] S4. After obtaining the details, a prompt word (i.e., a prompt word guiding risk response) needs to be concatenated with the details (i.e., extended content description) to obtain a prompt word for a target simulated jailbreak attack risk test that can be used to attack the large model to be verified. This step can be formally recorded as: ,in The final set of risk test prompts for simulated jailbreak attacks that can be used to attack the large-scale model to be verified. These are prompt words. This represents the detailed description of the generated content.

[0112] S5, after obtaining Then, it is used to attack the large model to be verified, obtaining a harmful response containing executable operations. For example, this step can be formally denoted as: Then, after successfully attacking the large model to be verified using the target simulated jailbreak attack risk test prompt, the target simulated jailbreak attack risk test prompt can be used as a potential simulated jailbreak risk scheme for the large model to be verified, and the large model to be verified can be protected against jailbreak attacks based on the potential simulated jailbreak risk scheme.

[0113] The effectiveness of the above method can be explained by two causal chains. First, detailed prompts semantically and superficially approximate legitimate queries, significantly improving the indistinguishability between jailbreak requests and normal requests, thus weakening the model's ability to discriminate based on input pattern recognition or heuristic rejection mechanisms. Second, the training objective of current large-scale auxiliary risk testing models is to maximize the usefulness and information content for legitimate queries, which leads the model to be more inclined to follow prompts and generate detailed answers when faced with high-quality inducement information. In summary, details serve both as a superficial disguise to "conceal" jailbreak intentions and as an effective inducement signal, making the large-scale model to be validated more likely to output specific and actionable guidance or steps.

[0114] One embodiment also provides a device for simulating jailbreak attack risk testing. See also... Figure 5 , Figure 5 This is a schematic diagram of the structure of the simulated jailbreak attack risk testing device 200 provided in this application embodiment. The simulated jailbreak attack risk testing device 200 is applied to an electronic device and includes an acquisition module 201, a processing module 202, and a testing module 203, as follows: Module 201 is used to obtain risk test prompts for simulated jailbreak attacks against the large model to be verified. Processing module 202 is used to extract simulated jailbreak feature behavior keywords and determine the extended content description corresponding to the simulated jailbreak feature behavior keywords based on the simulated jailbreak attack risk test prompt words using an auxiliary risk test large model; generate guided risk response prompt words based on the extended content description; and generate target simulated jailbreak attack risk test prompt words for the large model to be verified based on the guided risk response prompt words and the extended content description. The testing module 203 is used to perform simulated jailbreak attack risk testing on the large model to be verified based on the target simulated jailbreak attack risk test prompts.

[0115] In some embodiments, the processing module 202 is specifically used for: The auxiliary risk testing model is used to perform text parsing on the simulated jailbreak attack risk test prompts to obtain the simulated jailbreak characteristic behavior keywords of the simulated jailbreak attack risk test prompts. The auxiliary risk testing model expands the simulated jailbreak feature content based on the simulated jailbreak feature behavior keywords, generates expanded content descriptions for the simulated jailbreak feature behavior keywords, and generates guided response prompts based on the semantic features of the expanded content descriptions. The auxiliary risk testing model combines the guiding risk response prompts with the extended content descriptions to generate target simulated jailbreak attack risk test prompts for the simulated jailbreak attack risk test prompts.

[0116] In some embodiments, the processing module 202 is specifically used for: Based on the aforementioned auxiliary risk testing model, the simulated jailbreak attack risk test prompts are segmented into multiple word units. Part-of-speech identification is performed on multiple lexical units to filter out noun lexical units whose part of speech is noun; The simulated jailbreak feature semantic matching process is performed on the noun vocabulary unit to obtain the simulated jailbreak attack risk test prompt words and simulated jailbreak feature behavior keywords.

[0117] In some embodiments, the processing module 202 is specifically used for: The simulated jailbreak behavior attributes, implementation methods, and application scenarios corresponding to the simulated jailbreak feature behavior keywords are determined by the auxiliary risk testing model. Based on the simulated jailbreak behavior attributes, the simulated jailbreak behavior implementation method, and the simulated jailbreak behavior application scenario, determine the target expansion dimension corresponding to the simulated jailbreak feature behavior keywords; Based on the target expansion dimension, the text content of the keywords of the simulated jailbreak characteristic behavior is expanded to obtain an expanded content description.

[0118] In some embodiments, the processing module 202 is specifically used for: If the target expansion dimension is determined to be the simulated jailbreak behavior attribute and the simulated jailbreak behavior implementation method, then the text content of the simulated jailbreak feature behavior keywords is expanded based on the simulated jailbreak behavior attribute and the simulated jailbreak behavior implementation method to generate an expanded content description; If the target expansion dimension is determined to be a simulated jailbreak behavior application scenario, then the text content of the simulated jailbreak characteristic behavior keywords is expanded based on the simulated jailbreak behavior application scenario to generate an expanded content description.

[0119] In some embodiments, the processing module 202 is specifically used for: Based on the auxiliary risk testing big model, semantic features are extracted from the extended content description to obtain the semantic elements corresponding to the extended content description and explicit expressions of simulated jailbreak behavior. Based on the semantic elements, a legitimate task representation method is determined for the explicit representation of the simulated jailbreak behavior, and an implicit representation of the simulated jailbreak behavior is generated for the explicit representation of the simulated jailbreak behavior. Based on the implicit representation of the simulated prison break behavior, a large-scale model is used to generate guided responses and obtain risk response prompts.

[0120] In some implementations, the test module 203 is specifically used for: Based on the target simulated jailbreak attack risk test prompts, a simulated jailbreak attack risk test is performed on the large model to be verified. If the simulated jailbreak attack risk test is determined to be a successful attack, then the target simulated jailbreak attack risk test prompt word is identified as the target potential simulated jailbreak risk scheme. Based on the target's potential simulated jailbreak risk scheme, the large model to be verified is processed to prevent jailbreak attacks.

[0121] It should be noted that the simulated jailbreak attack risk testing device provided in this application embodiment belongs to the same concept as the simulated jailbreak attack risk testing method in the above embodiment. The simulated jailbreak attack risk testing device can implement any of the methods provided in the simulated jailbreak attack risk testing method embodiment. For details of its implementation process, please refer to the simulated jailbreak attack risk testing method embodiment, which will not be repeated here.

[0122] Furthermore, to better implement the simulated jailbreak attack risk testing method in the embodiments of this application, based on the simulated jailbreak attack risk testing method, this application also provides an electronic device. The electronic device can be any device equipped with a processor and possessing processing capabilities, such as mobile electronic devices with processors like smartphones, tablets, PDAs, and laptops, or fixed electronic devices with processors like desktop computers, televisions, and servers. Please refer to [link to relevant documentation]. Figure 6 , Figure 6 This is a schematic diagram of a first structure of an electronic device provided in an embodiment of this application. The electronic device 300 includes a processor 301 and a memory 302. The processor 301 and the memory 302 are electrically connected.

[0123] The processor 301 is the control center of the electronic device 300. It connects various parts of the electronic device via various interfaces and lines, and executes various functions and processes data by running or calling computer programs stored in the memory 302 and accessing data stored in the memory 302, thereby providing overall monitoring of the electronic device. The processor 301 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor.

[0124] The memory 302 can be used to store computer programs and data. The computer programs stored in the memory 302 contain instructions that can be executed in the processor. The computer programs can be composed of various functional modules. The processor 401 executes various functional applications and data processing by calling the computer programs stored in the memory 302. The memory 302 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, application programs required for at least one function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the electronic device 300 (such as audio data, video data, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, RAM, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0125] In this embodiment, the processor 301 in the electronic device 300 loads the instructions corresponding to the processes of one or more computer programs into the memory 302 according to the following steps, and the processor 401 runs the computer programs stored in the memory 302 to realize various functions: Obtain risk warning words for simulated jailbreak attacks against the large model to be verified; Based on the simulated jailbreak attack risk test prompts, the auxiliary risk test big model is used to extract simulated jailbreak feature behavior keywords and determine the extended content descriptions corresponding to the simulated jailbreak feature behavior keywords. Based on the extended content descriptions, the big model guides the response to generate guided risk response prompts. Based on the guided risk response prompts and the extended content descriptions, the target simulated jailbreak attack risk test prompts for the big model to be verified are generated. Based on the target simulated jailbreak attack risk test prompts, the large model to be verified is subjected to simulated jailbreak attack risk test processing.

[0126] In some implementations, please refer to Figure 7 , Figure 7 This is a second structural schematic diagram of the electronic device provided in an embodiment of this application. The electronic device 300 further includes: a radio frequency circuit 303, a display screen 304, a control circuit 305, an input unit 306, an audio circuit 307, a sensor 308, and a power supply 309. The processor 301 is electrically connected to the radio frequency circuit 303, the display screen 304, the control circuit 305, the input unit 306, the audio circuit 307, the sensor 308, and the power supply 309.

[0127] The radio frequency circuit 303 is used to transmit and receive radio frequency signals to communicate with network devices or other electronic devices via wireless communication.

[0128] The display screen 304 can be used to display information input by the user or information provided to the user, as well as various graphical user interfaces of electronic devices, which can be composed of images, text, icons, videos, and any combination thereof.

[0129] The control circuit 305 is electrically connected to the display screen 304 and is used to control the display screen 304 to display information.

[0130] The input unit 306 can be used to receive input numeric or character information or user characteristic information (such as fingerprints), and to generate keyboard, mouse, joystick, optical, or trackball signal inputs related to user settings and function control. The input unit 306 may include a fingerprint recognition module.

[0131] The audio circuit 307 provides an audio interface between the user and the electronic device via a speaker and a microphone. The audio circuit 307 includes a microphone, which is electrically connected to the processor 301. The microphone is used to receive voice information input by the user.

[0132] Sensor 308 is used to collect information about the external environment. Sensor 308 may include one or more sensors such as an ambient light sensor, an accelerometer, and a gyroscope.

[0133] The power supply 309 is used to supply power to the various components of the electronic device 300. In some embodiments, the power supply 309 can be logically connected to the processor 301 through a power management system, thereby enabling functions such as managing charging, discharging, and power consumption through the power management system.

[0134] Although not shown in the figure, electronic device 300 may also include a camera, Bluetooth module, etc., which will not be described in detail here.

[0135] In this embodiment, the processor 301 in the electronic device 300 loads the instructions corresponding to the processes of one or more computer programs into the memory 302 according to the following steps, and the processor 301 runs the computer programs stored in the memory 302 to realize various functions: Obtain risk warning words for simulated jailbreak attacks against the large model to be verified; Based on the simulated jailbreak attack risk test prompts, the auxiliary risk test big model is used to extract simulated jailbreak feature behavior keywords and determine the extended content descriptions corresponding to the simulated jailbreak feature behavior keywords. Based on the extended content descriptions, the big model guides the response to generate guided risk response prompts. Based on the guided risk response prompts and the extended content descriptions, the target simulated jailbreak attack risk test prompts for the big model to be verified are generated. Based on the target simulated jailbreak attack risk test prompts, the large model to be verified is subjected to simulated jailbreak attack risk test processing.

[0136] In some implementations, when processor 301 executes the process of extracting simulated jailbreak feature behavior keywords using an auxiliary risk testing model based on the simulated jailbreak attack risk test prompts and determining the extended content descriptions corresponding to the simulated jailbreak feature behavior keywords, generating guided responses based on the extended content descriptions to obtain guided risk response prompts, and generating target simulated jailbreak attack risk test prompts for the large model to be verified based on the guided risk response prompts and the extended content descriptions, the following can be performed: The auxiliary risk testing model is used to perform text parsing on the simulated jailbreak attack risk test prompts to obtain the simulated jailbreak characteristic behavior keywords of the simulated jailbreak attack risk test prompts. The auxiliary risk testing model expands the simulated jailbreak feature content based on the simulated jailbreak feature behavior keywords, generates expanded content descriptions for the simulated jailbreak feature behavior keywords, and generates guided response prompts based on the semantic features of the expanded content descriptions. The auxiliary risk testing model combines the guiding risk response prompts with the extended content descriptions to generate target simulated jailbreak attack risk test prompts for the simulated jailbreak attack risk test prompts.

[0137] In some implementations, when processor 301 executes the text parsing process of the simulated jailbreak attack risk test prompts using the auxiliary risk test big model to obtain the simulated jailbreak attack risk test prompts' simulated jailbreak characteristic behavior keywords, it can perform the following: Based on the aforementioned auxiliary risk testing model, the simulated jailbreak attack risk test prompts are segmented into multiple word units. Part-of-speech identification is performed on multiple lexical units to filter out noun lexical units whose part of speech is noun; The simulated jailbreak feature semantic matching process is performed on the noun vocabulary unit to obtain the simulated jailbreak attack risk test prompt words and simulated jailbreak feature behavior keywords.

[0138] In some implementations, when processor 301 executes the simulated jailbreak feature content expansion processing based on the simulated jailbreak feature behavior keywords using the auxiliary risk testing big model to generate expanded content descriptions for the simulated jailbreak feature behavior keywords, it may perform the following: The simulated jailbreak behavior attributes, implementation methods, and application scenarios corresponding to the simulated jailbreak feature behavior keywords are determined by the auxiliary risk testing model. Based on the simulated jailbreak behavior attributes, the simulated jailbreak behavior implementation method, and the simulated jailbreak behavior application scenario, determine the target expansion dimension corresponding to the simulated jailbreak feature behavior keywords; Based on the target expansion dimension, the text content of the keywords of the simulated jailbreak characteristic behavior is expanded to obtain an expanded content description.

[0139] In some implementations, when processor 301 performs the step of expanding the text content of the simulated jailbreak characteristic behavior keywords based on the target expansion dimension to obtain an expanded content description, it may perform the following: If the target expansion dimension is determined to be the simulated jailbreak behavior attribute and the simulated jailbreak behavior implementation method, then the text content of the simulated jailbreak feature behavior keywords is expanded based on the simulated jailbreak behavior attribute and the simulated jailbreak behavior implementation method to generate an expanded content description; If the target expansion dimension is determined to be a simulated jailbreak behavior application scenario, then the text content of the simulated jailbreak characteristic behavior keywords is expanded based on the simulated jailbreak behavior application scenario to generate an expanded content description.

[0140] In some implementations, when processor 301 executes the large model guided response generation based on the semantic features described by the extended content to obtain guided risk response prompt words, it may perform the following: Based on the auxiliary risk testing big model, semantic features are extracted from the extended content description to obtain the semantic elements corresponding to the extended content description and explicit expressions of simulated jailbreak behavior. Based on the semantic elements, a legitimate task representation method is determined for the explicit representation of the simulated jailbreak behavior, and an implicit representation of the simulated jailbreak behavior is generated for the explicit representation of the simulated jailbreak behavior. Based on the implicit representation of the simulated prison break behavior, a large-scale model is used to generate guided responses and obtain risk response prompts.

[0141] In some implementations, when processor 301 performs the simulated jailbreak attack risk test on the large model to be verified based on the target simulated jailbreak attack risk test prompt, it may perform the following: Based on the target simulated jailbreak attack risk test prompts, a simulated jailbreak attack risk test is performed on the large model to be verified. If the simulated jailbreak attack risk test is determined to be a successful attack, then the target simulated jailbreak attack risk test prompt word is identified as the target potential simulated jailbreak risk scheme. Based on the target's potential simulated jailbreak risk scheme, the large model to be verified is processed to prevent jailbreak attacks.

[0142] This application also provides a computer-readable storage medium storing a computer program. When the computer program is run on a computer, the computer executes the simulated jailbreak attack risk testing method described in any of the above embodiments.

[0143] It should be noted that those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, which may include, but is not limited to, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk, etc.

[0144] This application also provides a computer program product containing instructions that, when the computer program product is run on a computer or processor, cause the computer or processor to execute the simulated jailbreak attack risk testing method described in any of the above embodiments.

[0145] Furthermore, the terms "first," "second," and "third," etc., used in this application are used to distinguish different objects, not to describe a specific order. Additionally, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or modules is not limited to the listed steps or modules, but some embodiments may also include steps or modules not listed, or some embodiments may include other steps or modules inherent to these processes, methods, products, or devices.

[0146] The foregoing has provided a detailed description of the simulated jailbreak attack risk testing method, apparatus, storage medium, and electronic device provided in the embodiments of this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the embodiments above are merely for the purpose of helping to understand the method and its core ideas; furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for simulating jailbreak attack risk testing, characterized in that, include: Obtain risk warning words for simulated jailbreak attacks against the large model to be verified; Based on the simulated jailbreak attack risk test prompts, the auxiliary risk test big model is used to extract simulated jailbreak feature behavior keywords and determine the extended content descriptions corresponding to the simulated jailbreak feature behavior keywords. Based on the extended content descriptions, the big model guides the response to generate guided risk response prompts. Based on the guided risk response prompts and the extended content descriptions, the target simulated jailbreak attack risk test prompts for the big model to be verified are generated. Based on the target simulated jailbreak attack risk test prompts, the large model to be verified is subjected to simulated jailbreak attack risk test processing.

2. The method according to claim 1, characterized in that, The process involves using an auxiliary risk testing model to extract keywords representing simulated jailbreak behaviors based on the simulated jailbreak attack risk test prompts, and determining corresponding extended content descriptions for these keywords. Based on these extended content descriptions, a large-scale model-guided response is generated to obtain guided risk response prompts. Finally, based on these guided risk response prompts and the extended content descriptions, target simulated jailbreak attack risk test prompts are generated for the large-scale model to be verified, including: The auxiliary risk testing model is used to perform text parsing on the simulated jailbreak attack risk test prompts to obtain the simulated jailbreak characteristic behavior keywords of the simulated jailbreak attack risk test prompts. The auxiliary risk testing model expands the simulated jailbreak feature content based on the simulated jailbreak feature behavior keywords, generates expanded content descriptions for the simulated jailbreak feature behavior keywords, and generates guided response prompts based on the semantic features of the expanded content descriptions. The auxiliary risk testing model combines the guiding risk response prompts with the extended content descriptions to generate target simulated jailbreak attack risk test prompts for the simulated jailbreak attack risk test prompts.

3. The method according to claim 2, characterized in that, The auxiliary risk testing model is used to perform text parsing on the simulated jailbreak attack risk test prompts to obtain the simulated jailbreak characteristic behavior keywords of the simulated jailbreak attack risk test prompts, including: Based on the aforementioned auxiliary risk testing model, the simulated jailbreak attack risk test prompts are segmented into multiple word units. Part-of-speech identification is performed on multiple lexical units to filter out noun lexical units whose part of speech is noun; The simulated jailbreak feature semantic matching process is performed on the noun vocabulary unit to obtain the simulated jailbreak attack risk test prompt words and simulated jailbreak feature behavior keywords.

4. The method according to claim 2, characterized in that, The process involves using an auxiliary risk testing model to expand the simulated prison break feature content based on the keywords of the simulated prison break characteristic behaviors, generating expanded content descriptions for the keywords of the simulated prison break characteristic behaviors, including: The simulated jailbreak behavior attributes, implementation methods, and application scenarios corresponding to the simulated jailbreak feature behavior keywords are determined by the auxiliary risk testing model. Based on the simulated jailbreak behavior attributes, the simulated jailbreak behavior implementation method, and the simulated jailbreak behavior application scenario, determine the target expansion dimension corresponding to the simulated jailbreak feature behavior keywords; Based on the target expansion dimension, the text content of the keywords of the simulated jailbreak characteristic behavior is expanded to obtain an expanded content description.

5. The method according to claim 4, characterized in that, The process of expanding the text content of the keywords representing simulated prison break behavior based on the target expansion dimension to obtain expanded content descriptions includes: If the target expansion dimension is determined to be the simulated jailbreak behavior attribute and the simulated jailbreak behavior implementation method, then the text content of the simulated jailbreak feature behavior keywords is expanded based on the simulated jailbreak behavior attribute and the simulated jailbreak behavior implementation method to generate an expanded content description; If the target expansion dimension is determined to be a simulated jailbreak behavior application scenario, then the text content of the simulated jailbreak characteristic behavior keywords is expanded based on the simulated jailbreak behavior application scenario to generate an expanded content description.

6. The method according to claim 2, characterized in that, The generation of guided risk response prompts based on the semantic features described in the extended content using a large model includes: Based on the auxiliary risk testing big model, semantic features are extracted from the extended content description to obtain the semantic elements corresponding to the extended content description and explicit expressions of simulated jailbreak behavior. Based on the semantic elements, a legitimate task representation method is determined for the explicit representation of the simulated jailbreak behavior, and an implicit representation of the simulated jailbreak behavior is generated for the explicit representation of the simulated jailbreak behavior. Based on the implicit representation of the simulated prison break behavior, a large-scale model is used to generate guided responses and obtain risk response prompts.

7. The method according to claim 1, characterized in that, The process of performing simulated jailbreak attack risk testing on the large model to be verified based on the target simulated jailbreak attack risk test prompts includes: Based on the target simulated jailbreak attack risk test prompts, a simulated jailbreak attack risk test is performed on the large model to be verified. If the simulated jailbreak attack risk test is determined to be a successful attack, then the target simulated jailbreak attack risk test prompt word is identified as the target potential simulated jailbreak risk scheme. Based on the target's potential simulated jailbreak risk scheme, the large model to be verified is processed to prevent jailbreak attacks.

8. A device for simulating jailbreak attack risk testing, characterized in that, include: The acquisition module is used to acquire risk warning words for simulated jailbreak attacks against the large model to be verified; The processing module is used to extract simulated jailbreak feature behavior keywords and determine the extended content descriptions corresponding to the simulated jailbreak feature behavior keywords using an auxiliary risk testing model based on the simulated jailbreak attack risk test prompt words; generate guided risk response prompt words based on the extended content descriptions; and generate target simulated jailbreak attack risk test prompt words for the large model to be verified based on the guided risk response prompt words and the extended content descriptions. The testing module is used to perform simulated jailbreak attack risk testing on the large model to be verified based on the target simulated jailbreak attack risk test prompts.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is run on the computer, it causes the computer to perform the simulated jailbreak attack risk testing method as described in any one of claims 1 to 7.

10. An electronic device comprising a processor and a memory, the memory storing a computer program, characterized in that, The processor invokes the computer program to execute the simulated jailbreak attack risk testing method as described in any one of claims 1 to 7.

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