| 2026 | ACL | Between a Rock and a Hard Place: The Tension Between Ethical Reasoning and Safety Alignment in LLMs. | Shei Pern Chua, Zhen Leng Thai, Kai Jun Teh, Xiao Li, Qibing Ren, Xiaolin Hu |
| 2025 | ACL | LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts. | Qibing Ren, Hao Li, Dongrui Liu, Zhanxu Xie, Xiaoya Lu, Yu Qiao, Lei Sha, Junchi Yan, Lizhuang Ma, Jing Shao |
| 2024 | ACL | CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion. | Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Wai Lam, Lizhuang Ma |
| 2024 | KDD | Certified Robustness on Visual Graph Matching via Searching Optimal Smoothing Range. | Huaqing Shao, Lanjun Wang, Yongwei Wang, Qibing Ren, Junchi Yan |
| 2023 | ICLR | ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs. | Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Xijun Li, Mingxuan Yuan, Jia Zeng, Xiaokang Yang, Junchi Yan |
| 2022 | CVPR | Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond. | Qibing Ren, Qingquan Bao, Runzhong Wang, Junchi Yan |
| 2022 | KDD | DICE: Domain-attack Invariant Causal Learning for Improved Data Privacy Protection and Adversarial Robustness. | Qibing Ren, Yiting Chen, Yichuan Mo, Qitian Wu, Junchi Yan |