15 results about "Watermark algorithm" patented technology

The application provides a kind of based on Transform and prompt guide imperceptible watermark attack method, belongs to digital information security technical field.Method includes: through existing data set and QPHFMs watermark algorithm construction training data set, adjusts the size of original watermark image and original non-watermark image containing uniformly, obtains standardization training data;Imperceptible watermark attack network TFP-WAN containing Transform encoder-decoder framework and dynamic prompt module is constructed, dynamic prompt module includes PGM and PIM;MAE is used as loss function in TFP-WAN;Standardization training data is input into TFP-WAN and iteratively trained until reaching preset iteration number, and the watermark attack model of training completion is obtained;The image after attack is output after inputting the watermark image to be attacked into watermark attack model.The application realizes the attack to robust watermark algorithm with higher error rate.

This invention discloses a deep learning-based Hadamard transform-based anti-screen-capture watermarking method, belonging to the field of watermarking technology. This invention combines a convolutional neural network (CNN) and residual blocks to achieve an end-to-end process of watermark embedding and extraction within the Hadamard domain. By simulating screen-capture attacks and incorporating this method between the embedding and extraction layers, the network ensures robust watermark embedding. This method can efficiently extract watermark information from photos taken by surreptitiously, protecting the copyright of digital media. The use of the transform domain for watermark embedding allows the watermark to spread over a wider area of ​​the image, significantly improving the robustness of the watermarking algorithm. Comparison with related technologies demonstrates the superiority of this invention in terms of imperceptibility and robustness.

The invention discloses an image watermarking algorithm based on Kyber fully homomorphic encryption, which is characterized in that an anti-quantum Kyber lattice cryptographic algorithm is combined with a Patchwork watermarking algorithm, so that the exchangeability (first encryption and then embedding or first embedding and then encryption) of an encryption and watermark embedding sequence is realized, and dual-mode watermark extraction of a ciphertext domain and a plaintext domain is supported. According to the method, the addition homomorphic characteristic of Kyber is utilized, it is ensured that the operation sequence does not affect ciphertext generation and watermark extraction, the safety defect of a traditional algorithm in the quantum environment is overcome, and the method is suitable for scenes of digital copyright management, medical data sharing and the like and has the advantages of quantum attack resistance, high robustness, outstanding privacy protection capacity and the like.

This invention discloses a method and apparatus for evaluating the robustness of image watermarking. The method includes: acquiring an original image dataset; printing watermarks on a portion of the original images in the original image dataset using the watermarking algorithm to be evaluated, forming a watermarked image dataset; attacking all images in the watermarked image dataset to obtain an attacked image dataset; performing watermark recognition on all images in the attacked image dataset to obtain watermark recognition results; the watermark recognition results include the true positive rate and the false positive rate; using a preset image quality measurement algorithm, calculating the image quality measurement values ​​before and after the attack for each watermarked image, as the image quality degradation result; determining the image watermark robustness evaluation result based on the watermark recognition result and the image quality degradation result; the image watermark robustness evaluation result includes an image watermark robustness evaluation report. This invention provides a complete, systematic, and mature method for evaluating watermarking algorithms.

The invention discloses a robust image watermarking method based on a fast and high-precision Pseudo-Zernike moment. According to the method, the defects of the existing orthogonal moment watermarking algorithm in precision and calculation efficiency are overcome, the copyright of the digital image is effectively protected, and meanwhile, the resistance of the watermark to common image processing attacks and geometric attacks is improved. The method specifically comprises the following steps: (1) adopting a polar coordinate pixel division and nearest neighbor interpolation algorithm, deducing an analytical solution of a Pseudo-Zernike moment in combination with a Newton-Leibniz formula, and calculating a rapid and high-precision Pseudo-Zernike moment by utilizing symmetric and antisymmetric characteristics of a primary function; (2) screening Pseudo-Zernike moments meeting conditions, carrying out normalization processing, encrypting a watermark sequence by adopting tent chaotic mapping, and embedding the encrypted watermark into the amplitude of the normalization moment through an improved quantitative modulation strategy to obtain a moment value of the embedded watermark; and (3) carrying out inverse Pseudo-Zernike moment transformation on the moment embedded with the watermark, reconstructing to obtain an image with the watermark, and carrying out range correction on a pixel value to generate a final watermark image.

This invention provides a data synchronization method and apparatus. Through a visual interface, the data source and target cluster index parameters are configured. A data synchronization task is created based on the data source and index parameters. The task's time period and triggering rules are set. The task is scheduled according to these rules. An incremental watermark algorithm is used to read data from the data source. Write nodes are dynamically allocated based on load. A search interface combining HTTP / Socket dual protocols and local caching is provided to query data for business scenarios. This improves development efficiency, ensures data consistency and reliability, enhances resource utilization, and reduces data synchronization time. It significantly improves the data synchronization efficiency and system stability of distributed systems and is suitable for high-concurrency, multi-source, heterogeneous data synchronization scenarios.

The invention provides a convolutional neural network model integrity verification method based on an adaptive watermarking algorithm, and the method is characterized in that the method comprises the following steps: carrying out the watermark carrier selection based on a structured pruning method, and obtaining a watermark carrier sequence; performing watermark embedding on the watermark carrier sequence based on an adaptive watermark algorithm and a histogram shift algorithm to obtain a model with a first watermark and an extraction key; according to the extraction key, using a histogram shift algorithm to extract a first watermark in the model, and reconstructing the model; calculating the information abstract of the reconstructed model to obtain a second watermark; and verifying the integrity of the model according to a comparison result of the first watermark and the second watermark. According to the method, the technical problems that when the integrity of the convolutional neural network is verified by using the fragile model watermark, the precision of the convolutional neural network is lost and the watermark capacity is difficult to control due to an existing watermark embedding mode can be solved.

The application provides a multi-bit audio watermarking method based on phase distribution and high-efficiency bit mapping, and belongs to the field of audio information hiding. The application divides multiple independent phase subintervals based on the natural distribution characteristics of phases, and can realize one-to-many mapping from single feature to multi-bit watermarking by constructing unique phase features in the phase subintervals corresponding to watermarking information. In addition, the application introduces an optimization strategy, and can realize automatic phase redistribution. The application can significantly reduce the number of subspaces / feature modes required for multi-bit embedding, and reduce the design difficulty of the multi-bit watermarking algorithm. In addition, since an automatic phase redistribution algorithm based on optimization constraints is adopted, the algorithm can more effectively balance the inaudibility and robustness.

The invention provides an imperceptible watermark attack method based on Transform and prompt guidance, and belongs to the technical field of digital information security. The method comprises the following steps: constructing a training data set through an existing data set and a QPHFMs watermark algorithm, and uniformly adjusting the sizes of a watermark-containing image and an original watermark-free image to obtain standardized training data; the method comprises the following steps: constructing an imperceptible watermark attack network TFP-WAN comprising a Transform encoder-decoder framework and a dynamic prompt module, wherein the dynamic prompt module comprises a PGM and a PIM; mAE is used as a loss function in the TFP-WAN; inputting the standardized training data into the TFP-WAN for iterative training until a preset number of iterations is reached, and obtaining a trained watermark attack model; and inputting a watermark-containing image to be attacked into the watermark attack model, and outputting an attacked image. According to the method, the attack on the robust watermarking algorithm is realized with a relatively high error rate.

The application discloses a strong robust frequency domain symmetrical image watermarking method for copyright confirmation, utilizes the base image features of different frequency domain coefficients, modulates specific frequency domain coefficients to realize the embedding of symmetrical watermarking, enhances the robustness of the watermarking against large-area cutting attacks by constructing symmetrical peaks with consistent number of different resolution images, and designs a watermark preprocessing module meeting the Kerckhoffs principle to guarantee the security of the watermarking algorithm under the open condition. The application can effectively resist various signal processing attacks and geometric attacks, still has high-precision watermark resynchronization ability when suffering various attacks, enhances the robustness of the watermarking against various attacks while guaranteeing the high perceptual sensitivity of the image, is stronger in the robustness against large-area cutting, and is stable in performance and good in generalization when applied to different resolution images.

The present application relates to the technical field of computer application, specifically to a traceable deep learning model black box watermarking scheme, which proposes a black box watermarking scheme capable of verifying the identity of a deep model. The main method is to generate a trigger set using an image watermarking algorithm to form an efficient, traceable and reproducible deep model black box watermarking scheme, which solves the model identity recognition problem and the current intelligent model watermarking scheme and ownership claim attack problem. The trigger set picture generated by adding random noise or using a deep network is difficult to reproduce. Even in the case of being able to reproduce, it is still impossible to trace and verify the identity. In the case of trigger set loss, the trigger set can still be reproduced through the key and the original trigger picture. This effectively improves the reliability of the scheme.

The invention provides a Gaussian splash model reversible watermark generation method and device, and relates to the technical field of watermark algorithms, and the method comprises the steps: selecting a target seal model; selecting a reference Gaussian primitive from the Gaussian splash model to be protected, and determining a reference position based on the covariance of the reference Gaussian primitive; selecting a plurality of nearest neighbor Gaussian primitives in a neighborhood by taking the reference position as a center to construct a local primitive set; performing feature decoupling on the local primitive set to obtain a plurality of geometric appearance features, and adding nonlinear perturbation to the plurality of geometric appearance features to obtain perturbation geometric appearance features; and performing transformation processing on the target seal model by using the disturbance geometric appearance features, and embedding the transformed target seal model into the to-be-protected Gaussian splash model to obtain a Gaussian splash model carrying the dominant watermark seal. By adopting the reversible watermark generation method and device of the Gaussian splash model, the problems that the precision of the 3DGS model cannot be recovered after the watermark is removed and the watermark generation complexity is high are solved.

The application discloses an unmanned system network attack detection method based on a recursive watermark mechanism, first, an unmanned system model, a controller model and a detector model under network attack are established, second, a network attack model with non-continuous characteristics is established according to the unmanned system model, then, a recursive watermark mechanism based on an event trigger mechanism of a detector alarm is introduced, finally, the detection effect of the detector and the system performance loss are calculated according to the unmanned system model and the recursive watermark parameters proposed in the application. Compared with the traditional periodic watermark method, the detection rate of the recursive watermark algorithm is higher under the same performance loss, which is of great significance for guiding the deployment of unmanned system security defense measures and saving system performance loss, thereby realizing the guarantee of defense effect and the reduction of performance system loss.

The application discloses a self-supervision lossless zero watermark algorithm based on feature comparison learning, and belongs to the field of information security.The self-supervision lossless zero watermark algorithm based on feature comparison learning comprises the following steps: firstly, a benchmark feature extractor is used to extract features of an original image; then, the original image passes through a noise layer to obtain a noisy image; subsequently, the noisy image is input into a learnable feature extractor; the learnable feature extractor learns by comparing the features extracted by the benchmark feature extractor, so that a robust effect is achieved; finally, a binaryzation and copyright information are subjected to an XOR operation to obtain a final zero watermark; the original copyright information can be extracted and restored after the image is subjected to various noise attacks, so that the purpose of copyright protection is achieved.

The invention belongs to the technical field of federated learning, and particularly relates to a method and system for judging the security of a federated learning communication link based on watermarks. The method comprises the following steps: after a client obtains a parameter update quantity of a trained local new model compared with a to-be-trained model, embedding an arrangement watermark into the parameter update quantity to obtain a model update quantity; meanwhile, the client side embeds a hidden watermark into the sample set based on a histogram shift reversible image watermarking algorithm to obtain a watermark image set; the client sends the watermark image set and the model update quantity back to the central server; the central server verifies the watermark image set copy based on the received model update quantity copy, and if verification succeeds, it is judged that the current communication link is safe; otherwise, sending an alarm that the communication link is threatened to the technician. According to the invention, the security of the federal learning communication link can be judged efficiently and accurately.