1 citations · 1 across the 10 of their papers we have counts for
10 papers
KeyBound: Keyed and Host-Bound Learned Audio Watermarking for Speech Provenance
Bangshuo Zhu, Yuxin Cao, Weifei Jin +4
Audio watermarking is a proactive route to attributing synthetic speech to its source. Learned audio watermarks are typically judged by payload recovery after a fixed catalog of si…
SpreadMark: Robust Image Watermarking via Spread-Spectrum Embedding
Wei Song, Yuxin Cao, Zhenchang Xing +4
Invisible image watermarks are increasingly used for deepfake detection and provenance tracking, where they must survive not only incidental distortions but also deliberate removal…
Caved or Convinced: Temporal Sampling Gates Claim Deference in Video Large Language Models
Yuxin Cao, Wei Song, Jingling Xue +1
When asked which of two events came first, video large language models can fail in two opposite ways: cave to a false claim, or reject a true one. Prior video sycophancy work measu…
VideoSTF: Stress-Testing Output Repetition in Video Large Language Models
Yuxin Cao, Wei Song, Shangzhi Xu +2
Video Large Language Models (VideoLLMs) have achieved strong performance on video understanding tasks, yet existing benchmarks evaluate only what models predict, leaving the stabil…
DeMark: A Query-Free Black-Box Attack on Deepfake Watermarking Defenses
Wei Song, Zhenchang Xing, Liming Zhu +2
The rapid proliferation of realistic deepfakes has raised urgent concerns over their misuse, motivating the use of defensive watermarks in synthetic images for reliable detection a…
Robust CAPTCHA Using Audio Illusions in the Era of Large Language Models: from Evaluation to Advances
Ziqi Ding, Yunfeng Wan, Wei Song +7
CAPTCHAs are widely used by websites to block bots and spam by presenting challenges that are easy for humans but difficult for automated programs to solve. To improve accessibilit…
Poisoning Prompt-Guided Sampling in Video Large Language Models
Yuxin Cao, Wei Song, Jingling Xue +1
Video Large Language Models (VideoLLMs) are increasingly deployed as automated moderators on user-generated video platforms, where a few unwatched seconds of harmful footage are en…
Help or Hurdle? Rethinking Model Context Protocol-Augmented Large Language Models
Wei Song, Haonan Zhong, Ziqi Ding +2
The Model Context Protocol (MCP) enables large language models (LLMs) to access external resources on demand. While commonly assumed to enhance performance, how LLMs actually lever…
Failures to Surface Harmful Contents in Video Large Language Models
Yuxin Cao, Wei Song, Derui Wang +2
Video Large Language Models (VideoLLMs) are increasingly deployed on numerous critical applications, where users rely on auto-generated summaries while casually skimming the video…
ai.txt: A Domain-Specific Language for Guiding AI Interactions with the Internet
Yuekang Li, Wei Song, Bangshuo Zhu +8
We introduce ai.txt, a novel domain-specific language (DSL) designed to explicitly regulate interactions between AI models, agents, and web content, addressing critical limitations…