Author

Yang Song

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#machine learning Preprint Sep 2026

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

Jul 2026

TRACE: A Two-Channel Robust Attribution Watermark via Complementary Embeddings for LLM-Agent Trajectories

TRACE is presented, to the authors' knowledge the first agent watermark that is distortion-free in its action choices, self-synchronizing under deletion, and unconditionally invariant under rewriting, and it is proved this behavioral watermark's signal is bought with decision entropy.

Zhengguang Gao, Xiao-Yu Li, Xiao-Yang Feng et al. · arXiv.org · 3 citations