4 papers
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…
TRACE: A Two-Channel Robust Attribution Watermark via Complementary Embeddings for LLM-Agent Trajectories
Zheng Gao, Xiaoyu Li, Xiaoyan Feng +5
LLM agents reach users through resellers, who may rebrand a developer's agent or substitute a cheaper model. When provenance is disputed, attribution rests on the trajectory log (t…
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…
SLICE: Semantic Latent Injection via Compartmentalized Embedding for Image Watermarking
Zheng Gao, Yifan Yang, Xiaoyu Li +4
Watermarking the initial noise of diffusion models has emerged as a promising approach for image provenance, but content-independent noise patterns can be forged via inversion and…