Sparse Adversarial Video Attacks with Spatial Transformations. - Ronghui Mu; Wenjie Ruan; Leandro Soriano Marcolino; Qiang Ni (BMVC, 2021)

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

Randomized Adversarial Training via Taylor Expansion. - Gaojie Jin; Xinping Yi; Dengyu Wu; Ronghui Mu; Xiaowei Huang 001 (CVPR, 2023)

Reward Certification for Policy Smoothed Reinforcement Learning. - Ronghui Mu; Leandro Soriano Marcolino; Yanghao Zhang; Tianle Zhang; Xiaowei Huang 001; Wenjie Ruan (AAAI, 2024)

Towards Fairness-Aware Adversarial Learning. - Yanghao Zhang; Tianle Zhang; Ronghui Mu; Xiaowei Huang 001; Wenjie Ruan (CVPR, 2024)

DeepGRE: Global Robustness Evaluation of Deep Neural Networks. - Tianle Zhang; Jiaxu Liu 001; Yanghao Zhang; Ronghui Mu; Wenjie Ruan (ICASSP, 2024)

Position: Building Guardrails for Large Language Models Requires Systematic Design. - Yi Dong 002; Ronghui Mu; Gaojie Jin; Yi Qi; Jinwei Hu; Xingyu Zhao 001; Jie Meng; Wenjie Ruan; Xiaowei Huang 001 (ICML, 2024)

PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search. - Tianle Zhang; Yanghao Zhang; Ronghui Mu; Jiaxu Liu 001; Jonathan E. Fieldsend; Wenjie Ruan (IJCAI, 2024)

Building Guardrails for Large Language Models. - Yi Dong 002; Ronghui Mu; Gaojie Jin; Yi Qi; Jinwei Hu; Xingyu Zhao 001; Jie Meng; Wenjie Ruan; Xiaowei Huang 001 (CoRR, 2024)

Safeguarding Large Language Models: A Survey. - Yi Dong 002; Ronghui Mu; Yanghao Zhang; Siqi Sun; Tianle Zhang; Changshun Wu; Gaojie Jin; Yi Qi; Jinwei Hu; Jie Meng; Saddek Bensalem; Xiaowei Huang 001 (CoRR, 2024)

Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond. - Ronghui Mu; Leandro Soriano Marcolino; Qiang Ni; Wenjie Ruan (Neural Networks, 2024)

3DVerifier: efficient robustness verification for 3D point cloud models. - Ronghui Mu; Wenjie Ruan; Leandro Soriano Marcolino; Qiang Ni (Mach. Learn., 2024)

Nrat: towards adversarial training with inherent label noise. - Zhen Chen; Fu Wang; Ronghui Mu; Peipei Xu; Xiaowei Huang 001; Wenjie Ruan (Mach. Learn., 2024)

A survey of safety and trustworthiness of large language models through the lens of verification and validation. - Xiaowei Huang 001; Wenjie Ruan; Wei Huang 035; Gaojie Jin; Yi Dong 002; Changshun Wu; Saddek Bensalem; Ronghui Mu; Yi Qi; Xingyu Zhao 001; Kaiwen Cai; Yanghao Zhang; et al. (Artif. Intell. Rev., 2024)

Enhancing Robust Fairness via Confusional Spectral Regularization. - Gaojie Jin; Sihao Wu; Jiaxu Liu 001; Tianjin Huang; Ronghui Mu (ICLR, 2025)

Invariant Correlation of Representation With Label. - Gaojie Jin; Ronghui Mu; Xinping Yi; Xiaowei Huang 001; Lijun Zhang 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers. - Gaojie Jin; Tianjin Huang; Ronghui Mu; Xiaowei Huang 001 (CoRR, 2025)

ThermoRL:Structure-Aware Reinforcement Learning for Protein Mutation Design to Enhance Thermostability. - Xiangwen Wang; Gaojie Jin; Xiaowei Huang 001; Ronghui Mu (CoRR, 2025)

Safety of Embodied Navigation: A Survey. - Zixia Wang; Jia Hu; Ronghui Mu (CoRR, 2025)