AIBearisharXiv – CS AI · Apr 147/10
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On the Robustness of Watermarking for Autoregressive Image Generation
Researchers demonstrate critical vulnerabilities in watermarking techniques designed for autoregressive image generators, showing that watermarks can be removed or forged with access to only a single watermarked image and no knowledge of model secrets. These findings undermine the reliability of watermarking as a defense against synthetic content in training datasets and enable attackers to manipulate authentic images to falsely appear as AI-generated content.