Information Processing Device for Secure LLM Query Handling
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Solution Overview
Problem
Existing answer systems using large-language models (LLMs) face security concerns when handling confidential information, as they require transmitting unlearned data to external servers, potentially leading to information leakage and security risks.
Innovation Solution
An information processing device that locally processes user queries and generates answers using a machine learning model provided by a server device, where the device segments documents into chunks and transmits only relevant, confidential chunks to the server for processing, ensuring secure handling and minimizing data exposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is transmitted to external server to be provided to LLM, then answer capability for unlearned knowledge is improved, but security risk increases
Solution Approach 1:
The patent segments documents into smaller units called chunks before transmitting to the server. This segmentation ensures that only necessary portions of data are transmitted, reducing the exposure of confidential information while maintaining the ability to provide accurate answers to unlearned knowledge queries
Solution Approach 2:
The patent extracts only the relevant chunks of data needed to answer specific queries from the entire document database. This extraction approach minimizes the amount of data transmitted to external servers, thereby reducing security risks while preserving the LLM's capability to handle unlearned knowledge
2Measurement precision
If entire document is transmitted to server, then answer accuracy is improved, but data exposure increases
Solution Approach 1:
The patent divides documents into manageable chunks that contain only the relevant information needed for answering queries. This segmentation allows the system to transmit minimal necessary data to the server, reducing data exposure while maintaining answer accuracy through targeted information retrieval
Solution Approach 2:
The patent applies partial action by transmitting only the necessary portions of documents (chunks) rather than entire documents. This partial transmission approach reduces data exposure while providing sufficient information for accurate answers, avoiding the excessive action of transmitting complete documents
Data Source
AI summary
There is provided an information processing device for obtaining an answer to a query by processing a document and the query using a machine learning model provided by a server device. The information processing device includes: a reception portion configured to receive the query input by a user using an input device; a search portion configured to search for one or more documents stored in a document database private to the server device based on the received query and configured to acquire one or more contents having high relevance to the query as a search result; a transmission portion configured to transmit the search result to the server device via a communication device; and a receiving portion configured to receive, from the server device via the communication device, an answer sentence generated by the server device using the transmitted search result.


