Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization. - Zhexin Zhang; Junxiao Yang; Pei Ke; Minlie Huang (CoRR, 2023)

Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization. - Zhexin Zhang; Junxiao Yang; Pei Ke; Fei Mi; Hongning Wang; Minlie Huang (ACL (1), 2024)

Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks. - Zhexin Zhang; Junxiao Yang; Pei Ke; Shiyao Cui; Chujie Zheng; Hongning Wang; Minlie Huang (CoRR, 2024)

Global Challenge for Safe and Secure LLMs Track 1. - Xiaojun Jia; Yihao Huang 001; Yang Liu 003; Peng Yan Tan; Weng Kuan Yau; Mun-Thye Mak; Xin Ming Sim; Wee Siong Ng; See-Kiong Ng; Hanqing Liu; Lifeng Zhou; Huanqian Yan; et al. (CoRR, 2024)

Agent-SafetyBench: Evaluating the Safety of LLM Agents. - Zhexin Zhang; Shiyao Cui; Yida Lu; Jingzhuo Zhou; Junxiao Yang; Hongning Wang; Minlie Huang (CoRR, 2024)

Guiding not Forcing: Enhancing the Transferability of Jailbreaking Attacks on LLMs via Removing Superfluous Constraints. - Junxiao Yang; Zhexin Zhang; Shiyao Cui; Hongning Wang; Minlie Huang (ACL (1), 2025)

AISafetyLab: A Comprehensive Framework for AI Safety Evaluation and Improvement. - Zhexin Zhang; Leqi Lei; Junxiao Yang; Xijie Huang; Yida Lu; Shiyao Cui; Renmiao Chen; Qinglin Zhang; Xinyuan Wang 009; Hao Wang; Hao Li; Xianqi Lei; et al. (CoRR, 2025)

BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs. - Junxiao Yang; Jinzhe Tu; Haoran Liu; Xiaoce Wang; Chujie Zheng; Zhexin Zhang; Shiyao Cui; Caishun Chen; Tiantian He 001; Hongning Wang; Yew-Soon Ong; Minlie Huang (CoRR, 2025)

How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study. - Zhexin Zhang; Xian Qi Loye; Victor Shea-Jay Huang; Junxiao Yang; Qi Zhu 011; Shiyao Cui; Fei Mi; Lifeng Shang; Yingkang Wang; Hongning Wang; Minlie Huang (CoRR, 2025)

Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen! - Zhexin Zhang; Yuhao Sun; Junxiao Yang; Shiyao Cui; Hongning Wang; Minlie Huang (CoRR, 2025)