Mu, Ronghui

10 publications

ICLR 2025 Enhancing Robust Fairness via Confusional Spectral Regularization Gaojie Jin, Sihao Wu, Jiaxu Liu, Tianjin Huang, Ronghui Mu

IJCAI 2025 Safety of Embodied Navigation: A Survey Zixia Wang, Jia Hu, Ronghui Mu

MLJ 2024 3DVerifier: Efficient Robustness Verification for 3D Point Cloud Models Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni

MLJ 2024 Nrat: Towards Adversarial Training with Inherent Label Noise Zhen Chen, Fu Wang, Ronghui Mu, Peipei Xu, Xiaowei Huang, Wenjie Ruan

IJCAI 2024 PRASS: Probabilistic Risk-Averse Robust Learning with Stochastic Search Tianle Zhang, Yanghao Zhang, Ronghui Mu, Jiaxu Liu, Jonathan E. Fieldsend, Wenjie Ruan

ICML 2024 Position: Building Guardrails for Large Language Models Requires Systematic Design Yi Dong, Ronghui Mu, Gaojie Jin, Yi Qi, Jinwei Hu, Xingyu Zhao, Jie Meng, Wenjie Ruan, Xiaowei Huang

AAAI 2024 Reward Certification for Policy Smoothed Reinforcement Learning Ronghui Mu, Leandro Soriano Marcolino, Yanghao Zhang, Tianle Zhang, Xiaowei Huang, Wenjie Ruan

CVPR 2024 Towards Fairness-Aware Adversarial Learning Yanghao Zhang, Tianle Zhang, Ronghui Mu, Xiaowei Huang, Wenjie Ruan

AAAI 2023 Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni

CVPR 2023 Randomized Adversarial Training via Taylor Expansion Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang