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From the 1 of 6 linked papers with an AI index.

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6 papers

cs.CR2026

Tracing Provenance and Detecting Tampering with Complementary LLM Watermarks

Xiaoyan Feng, Yanjun Zhang, He Zhang +2

Watermarking LLM-generated text is an important task for tracing its provenance. Existing LLM watermarks preserve provenance under editing, but this same robustness allows an adver…

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.CR2026

Watermark Forensics for Generative Models: An Information-Theoretic Perspective

Xiaoyu Li, Zheng Gao, Xiaoyan Feng +3

The paper studies how to embed and detect watermarks in the outputs of generative language models, providing an information‑theoretic analysis of the trade‑offs for detection, attr…

cs.CR2026

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…

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…

cs.LG2026

Breaking Semantic-Aware Watermarks via LLM-Guided Coherence-Preserving Semantic Injection

Zheng Gao, Xiaoyu Li, Zhicheng Bao +2

Generative images have proliferated on Web platforms in social media and online copyright distribution scenarios, and semantic watermarking has increasingly been integrated into di…