collaborators

15 papers

cs.CV2026

PRMU: A Corpus-Free Benchmark for Person-Centric Knowledge Unlearning in Multimodal Large Language Models

Huafeng Chen, Yueming Lyu, Ziyuan Chen +4

Multimodal large language models (MLLMs) have demonstrated remarkable capabilities in storing and recalling rich person-related knowledge, raising increasing concerns about reliabl…

cs.CV2026

Is There Really a Camouflaged Object? Towards Realistic Camouflaged Object Detection

Huafeng Chen, Yueming Lyu, Chenyang Si +3

Camouflaged object detection (COD) aims to segment objects that are visually concealed in their surroundings and has attracted increasing attention in recent years. However, most e…

cs.CV2026

Hierarchical Anti-Aesthetics: Protecting Facial Privacy against Customized Diffusion Models

Songping Wang, Yueming Lyu, Shiqi Liu +5

The rise of customized diffusion models has fueled a boom in personalized visual content creation, but it also introduces serious risks of malicious misuse, thereby posing threats…

cs.CR2026

AgentCanary: A Security Evaluation Framework for Autonomous AI Agents in Real Executable Environments

Peiyang Li, Songping Wang, Yi Huang +9

Autonomous AI agents have driven the transition from conversation to task execution, shifting security failures from textual deception to system compromise. Although security evalu…

cs.CR2026

Confundo: Learning to Generate Robust Poison for Practical RAG Systems

Haoyang Hu, Zhejun Jiang, Yueming Lyu +3

Retrieval-augmented generation (RAG) is increasingly deployed in real-world applications, where its reference-grounded design makes outputs appear trustworthy. This trust has spurr…

cs.CV2026

Exposing and Defending the Achilles' Heel of Video Mixture-of-Experts

Songping Wang, Qinglong Liu, Yueming Lyu +3

Mixture-of-Experts (MoE) has demonstrated strong performance in video understanding tasks, yet its adversarial robustness remains underexplored. Existing attack methods often treat…