Ronghui Mu

According to our database, Ronghui Mu authored at least 15 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A survey of safety and trustworthiness of large language models through the lens of verification and validation.

Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong, Changshun Wu, Saddek Bensalem, Ronghui Mu, Yi Qi, Xingyu Zhao, Kaiwen Cai, Yanghao Zhang, Sihao Wu, Peipei Xu, Dengyu Wu, André Freitas, Mustafa A. Mustafa

Artif. Intell. Rev., July, 2024

Nrat: towards adversarial training with inherent label noise.

Zhen Chen, Fu Wang, Ronghui Mu, Peipei Xu, Xiaowei Huang, Wenjie Ruan

Mach. Learn., June, 2024

3DVerifier: efficient robustness verification for 3D point cloud models.

Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni

Mach. Learn., April, 2024

Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond.

Ronghui Mu, Leandro Soriano Marcolino, Qiang Ni, Wenjie Ruan

Neural Networks, 2024

Invariant Correlation of Representation with Label.

Gaojie Jin, Ronghui Mu, Xinping Yi, Xiaowei Huang, Lijun Zhang

CoRR, 2024

Safeguarding Large Language Models: A Survey.

Yi Dong, Ronghui Mu, Yanghao Zhang, Siqi Sun, Tianle Zhang, Changshun Wu, Gaojie Jin, Yi Qi, Jinwei Hu, Jie Meng, Saddek Bensalem, Xiaowei Huang

CoRR, 2024

Building Guardrails for Large Language Models.

Yi Dong, Ronghui Mu, Gaojie Jin, Yi Qi, Jinwei Hu, Xingyu Zhao, Jie Meng, Wenjie Ruan, Xiaowei Huang

CoRR, 2024

PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search.

Tianle Zhang, Yanghao Zhang, Ronghui Mu, Jiaxu Liu, Jonathan E. Fieldsend, Wenjie Ruan

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DeepGRE: Global Robustness Evaluation of Deep Neural Networks.

Tianle Zhang, Jiaxu Liu, Yanghao Zhang, Ronghui Mu, Wenjie Ruan

Proceedings of the IEEE International Conference on Acoustics, 2024

Towards Fairness-Aware Adversarial Learning.

Yanghao Zhang, Tianle Zhang, Ronghui Mu, Xiaowei Huang, Wenjie Ruan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Reward Certification for Policy Smoothed Reinforcement Learning.

Ronghui Mu, Leandro Soriano Marcolino, Yanghao Zhang, Tianle Zhang, Xiaowei Huang, Wenjie Ruan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Randomized Adversarial Training via Taylor Expansion.

Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning.

Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Sparse Adversarial Video Attacks with Spatial Transformations.

Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni

Proceedings of the 32nd British Machine Vision Conference 2021, 2021