activity
20232026
most citedSilent Guardian: Protecting Text from Malicious Exploitation by Large Language Models

12 citations · 38 across the 14 of their papers we have counts for

collaborators
Showing 2026Show all

5 papers · 1 filter

cs.CL2026

Beyond the Text: Verifying That Agent-Written Papers Are Backed by Their Artifacts

Qiuhong Shen, Benlong Wu, Hanjin Liu +2

Large language model agents are increasingly capable of conducting research autonomously, producing research documents alongside the code and experiments that ostensibly support th…

cs.CV2026

DNA: Dual-stage Native Attribution for Generated Image Source Tracing

Chao Wang, Kejiang Chen, Zijin Yang +4

The rapid evolution of image generation has produced numerous within-family variants, making source-model attribution of suspect images increasingly important for digital forensics…

cs.CR2026

ReTokSync: Self-Synchronizing Tokenization Disambiguation for Generative Linguistic Steganography

Yaofei Wang, Rui Wang, Weilong Pang +4

Generative linguistic steganography (GLS) enables covert communication by embedding secret messages into the natural language generation process. In practical deployment, however,…

cs.CV2026

SWIFT: Sliding Window Reconstruction for Few-Shot Training-Free Generated Video Attribution

Chao Wang, Zijin Yang, Yaofei Wang +4

Recent advancements in video generation technologies have been significant, resulting in their widespread application across multiple domains. However, concerns have been mounting…

cs.CR2026

STEAD: Robust Provably Secure Linguistic Steganography with Diffusion Language Model

Yuang Qi, Na Zhao, Qiyi Yao +4

Recent provably secure linguistic steganography (PSLS) methods rely on mainstream autoregressive language models (ARMs) to address historically challenging tasks, that is, to disgu…