Jie Zhang

Enhancing Adversarial Robustness of Vision Language Models via Adversarial Mixture Prompt Tuning

Towards Non-destructive Privacy Protection for LVLMs via node-level localized editing

Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMs

Evaluating the Quality of Hallucination Benchmarks for Large Vision-Language Models

Semantic or Covariate? A Study on the Intractable Case of Out-of-Distribution Detection