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Ronghui Mu
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2020 – today
- 2024
- [j4]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:
A survey of safety and trustworthiness of large language models through the lens of verification and validation. Artif. Intell. Rev. 57(7): 175 (2024) - [j3]Ronghui Mu, Wenjie Ruan
, Leandro Soriano Marcolino, Qiang Ni:
3DVerifier: efficient robustness verification for 3D point cloud models. Mach. Learn. 113(4): 1771-1798 (2024) - [j2]Zhen Chen, Fu Wang, Ronghui Mu, Peipei Xu, Xiaowei Huang, Wenjie Ruan
:
Nrat: towards adversarial training with inherent label noise. Mach. Learn. 113(6): 3589-3610 (2024) - [j1]Ronghui Mu, Leandro Soriano Marcolino
, Qiang Ni
, Wenjie Ruan
:
Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond. Neural Networks 171: 127-143 (2024) - [c6]Ronghui Mu, Leandro Soriano Marcolino, Yanghao Zhang, Tianle Zhang, Xiaowei Huang, Wenjie Ruan:
Reward Certification for Policy Smoothed Reinforcement Learning. AAAI 2024: 21429-21437 - [c5]Tianle Zhang, Jiaxu Liu, Yanghao Zhang, Ronghui Mu, Wenjie Ruan:
DeepGRE: Global Robustness Evaluation of Deep Neural Networks. ICASSP 2024: 6990-6994 - [c4]Yi Dong, Ronghui Mu, Gaojie Jin, Yi Qi, Jinwei Hu, Xingyu Zhao, Jie Meng, Wenjie Ruan, Xiaowei Huang:
Position: Building Guardrails for Large Language Models Requires Systematic Design. ICML 2024 - [i10]Yi Dong, Ronghui Mu, Gaojie Jin, Yi Qi, Jinwei Hu, Xingyu Zhao, Jie Meng, Wenjie Ruan, Xiaowei Huang:
Building Guardrails for Large Language Models. CoRR abs/2402.01822 (2024) - [i9]Yanghao Zhang, Tianle Zhang, Ronghui Mu, Xiaowei Huang, Wenjie Ruan:
Towards Fairness-Aware Adversarial Learning. CoRR abs/2402.17729 (2024) - [i8]Yi Dong, Ronghui Mu, Yanghao Zhang, Siqi Sun, Tianle Zhang, Changshun Wu, Gaojie Jin, Yi Qi, Jinwei Hu, Jie Meng, Saddek Bensalem, Xiaowei Huang:
Safeguarding Large Language Models: A Survey. CoRR abs/2406.02622 (2024) - [i7]Gaojie Jin, Ronghui Mu, Xinping Yi, Xiaowei Huang, Lijun Zhang:
Invariant Correlation of Representation with Label. CoRR abs/2407.01749 (2024) - 2023
- [c3]Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni:
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning. AAAI 2023: 15046-15054 - [c2]Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang:
Randomized Adversarial Training via Taylor Expansion. CVPR 2023: 16447-16457 - [i6]Gaojie Jin, Xinping Yi, Dengyu Wu
, Ronghui Mu, Xiaowei Huang:
Randomized Adversarial Training via Taylor Expansion. CoRR abs/2303.10653 (2023) - [i5]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:
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation. CoRR abs/2305.11391 (2023) - [i4]Ronghui Mu, Leandro Soriano Marcolino, Tianle Zhang, Yanghao Zhang, Xiaowei Huang, Wenjie Ruan:
Reward Certification for Policy Smoothed Reinforcement Learning. CoRR abs/2312.06436 (2023) - 2022
- [i3]Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni:
3DVerifier: Efficient Robustness Verification for 3D Point Cloud Models. CoRR abs/2207.07539 (2022) - [i2]Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni:
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2212.11746 (2022) - 2021
- [c1]Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni:
Sparse Adversarial Video Attacks with Spatial Transformations. BMVC 2021: 101 - [i1]Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni:
Sparse Adversarial Video Attacks with Spatial Transformations. CoRR abs/2111.05468 (2021)
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last updated on 2024-09-04 01:21 CEST by the dblp team
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