DRIFT: Removing Diffusion Watermarks by Deflecting the Generative Trajectory
DRIFT, a black-box attack that combines partial forward diffusion with stochastic reverse resampling, achieves 98-100% attack success and the best image quality among the compared attacks, without secret keys, verifier internals, or per-image gradient optimization.
Rui Bao, Zheng-Guang Gao, Xiao-Yu Li et al.
· 0 citations