3 papers
cs.CR2026
DRIFT: Removing Diffusion Watermarks by Deflecting the Generative Trajectory
Rui Bao, Zheng Gao, Xiaoyu Li +3
Diffusion watermarking embeds verifiable signals into the generative process and commonly verifies them by recovering trajectory-dependent evidence, making the marks robust to conv…
cs.CV2026
IRIS: Visual-Semantic Binding for Forgery-Resistant Watermarking of Diffusion Images
Xiaoyan Feng, Zheng Gao, Tong Guan +4
Most in-generation diffusion watermarks embed patterns independent of the image that carries them, and attackers transplant the marks onto images the generator did not produce, res…
cs.CV2026
SHIFT: Stochastic Hidden-Trajectory Deflection for Removing Diffusion-based Watermark
Rui Bao, Zheng Gao, Xiaoyu Li +3
Diffusion-based watermarking methods embed verifiable marks by manipulating the initial noise or the reverse diffusion trajectory. However, these methods share a critical assumptio…