9 papers
Rule-Constrained Assignment for Cue-Ball Identification in Broadcast Snooker
Yuxin Cao, Wei Song, Yuezhong Wu +1
Accurate cue-ball identification is essential for metric analysis of broadcast snooker. Existing systems evaluate each candidate independently against a fixed white prototype and r…
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…
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…
Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving
Yuxin Cao, Yedi Zhang, Wentao He +5
Learning-based autonomous driving systems remain critically vulnerable to adversarial patches, posing serious safety and security risks in their real-world deployment. Black-box at…
Towards Stealthy and Effective Backdoor Attacks on Lane Detection: A Naturalistic Data Poisoning Approach
Yifan Liao, Yuxin Cao, Yedi Zhang +5
Deep learning-based lane detection (LD) plays a critical role in autonomous driving and advanced driver assistance systems. However, its vulnerability to backdoor attacks presents…
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…
Whispering Under the Eaves: Protecting User Privacy Against Commercial and LLM-powered Automatic Speech Recognition Systems
Weifei Jin, Yuxin Cao, Junjie Su +6
The widespread application of automatic speech recognition (ASR) supports large-scale voice surveillance, raising concerns about privacy among users. In this paper, we concentrate…