3results about How to "Increase imperceptibility" patented technology

The invention discloses a generative model redrawing attack-oriented image robust watermark traceability method and system and a computer readable storage medium, and belongs to the field of digital information security and artificial intelligence content governance. The method comprises the following steps: in a watermark embedding stage, performing error correction coding and digital signature processing on traceability information containing identity information and a timestamp to generate a load to be embedded, and embedding the load to be embedded and a synchronization template for geometric synchronization into a host image in a function separation manner by using a deep neural network; in the training stage, combined optimization is carried out on the watermark embedding and extracting process by introducing generative model redrawing and microsimulation of image distortion attack, so that the robustness of the watermark under a complex attack condition is improved; in the extraction and verification stage, under the condition that an original image is not needed, geometric synchronous correction and blind extraction of a watermark load are carried out on an image to be analyzed, and authenticity confirmation of traceability information is completed through error correction decoding and digital signature verification. By adopting the technical scheme of the invention, the problems of insufficient traceability information robustness, difficult source confirmation and incomplete evidence chain in a generative model redrawing scene in the prior art are solved, and verifiable traceability and credible evidence generation of the image source information are realized.

The invention discloses a three-function deep counterfeit watermark evidence obtaining method, and relates to the technical field of digital image evidence obtaining and deep counterfeit detection. The method comprises the following steps of: 1, constructing a 152-dimensional composite watermark LIDMk; 2, constructing a four-module network architecture comprising an encoder E, a random operator factorization head decoder FHD and a discriminator D; 3, training the network architecture by adopting a two-stage training strategy; and step 4, applying the trained network architecture to deep counterfeiting evidence obtaining. According to the invention, through constructing a novel composite watermark and a unified network architecture, the integration of detection, tampering positioning and source tracing of deeply-forged contents is realized, meanwhile, the classical tradeoff problem of a watermark technology is solved, and the robustness and practicability of the evidence obtaining method are improved.

The application discloses a frequency dynamic convolution-based anti-compression-encoding robust audio watermarking method and system, relates to the field of multimedia information security, and comprises the following steps: an audio frequency domain conversion step, a watermark encoding step, a watermark embedding step, an audio waveform reconstruction step and a watermark extraction step. The application improves the robustness of the watermark to various signal processing while ensuring the imperceptibility of the watermark, effectively solves the watermark failure problem caused by compression encoding in the traditional watermarking method, can better learn to embed the watermark in the robust and imperceptible area in the frequency domain, and enhances the copyright protection and traceability of the watermark in the real application scene with multiple compressions.