3 papers
cs.CV2026
Robust MLLM Unlearning via Visual Knowledge Distillation
Yuhang Wang, Zhenxing Niu, Haoxuan Ji +3
Recently, machine unlearning approaches have been proposed to remove sensitive information from well-trained large models. However, most existing methods are tailored for LLMs, whi…
cs.AI2025
Efficient LLM-Jailbreaking via Multimodal-LLM Jailbreak
Haoxuan Ji, Zheng Lin, Zhenxing Niu +2
This paper focuses on jailbreaking attacks against large language models (LLMs), eliciting them to generate objectionable content in response to harmful user queries. Unlike previo…
cs.CV2024
Towards Unified Robustness Against Both Backdoor and Adversarial Attacks
Zhenxing Niu, Yuyao Sun, Qiguang Miao +2
Deep Neural Networks (DNNs) are known to be vulnerable to both backdoor and adversarial attacks. In the literature, these two types of attacks are commonly treated as distinct robu…