Semantic Watermarking for Malicious Image Manipulation Detection
The research developed a semantic watermarking system using CLIP-VAE to detect subtle image manipulations. This method converts an image's meaning into a binary code that is robust against noise, allowing detection of both if an edit occurred and the direction in which the image's meaning shifted. It outperforms existing methods in fidelity and forensic analysis.