The application discloses a face deep forgery evidence extraction method,
system, device and storage medium, which are corresponding solutions, in the solutions: in the hidden space semantic decoupling and
watermark injection stage, a self-verified and imperceptible original
watermark can be embedded into the hidden vector space of the face image to be protected, generating a high-quality face image with a
watermark, and the watermark trace cannot be perceived by the
human eye, meeting the high requirements of visual quality for film and television copyright protection, social
image sharing and the like; in the hidden space watermark extraction and self-
verification stage, the correlation structure of the internal watermark can be verified by only analyzing the to-be-detected image itself, so that whether the image is tampered with by deep forgery technology can be accurately judged without accessing the face image to be protected or the original watermark, and the tampered area can be located, thereby breaking through the blind detection technology
bottleneck, adapting to the no-reference scene such as real-time audit of a
social platform and offline image
verification, and solving the reference dependence problem of traditional semi-fragile watermarking.