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2020 – today
- 2024
[j4]Wei Song, Wen Ma, Ming Zhang, Yanghao Zhang, Xiaobing Zhao:
Lightweight diffusion models: a survey. Artif. Intell. Rev. 57(6): 161 (2024)- [j3]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) - [c8]Ronghui Mu, Leandro Soriano Marcolino, Yanghao Zhang, Tianle Zhang, Xiaowei Huang, Wenjie Ruan:
Reward Certification for Policy Smoothed Reinforcement Learning. AAAI 2024: 21429-21437 - [c7]Ming Zhang, Yi Hu, Xiangchun Liu, Yanghao Zhang, Quan Yi, Wei Song:
UAV Swarm Path Planning Algorithm Based on Starling Flocking. CSCWD 2024: 1-7 - [c6]Yanghao Zhang, Tianle Zhang, Ronghui Mu, Xiaowei Huang, Wenjie Ruan:
Towards Fairness-Aware Adversarial Learning. CVPR 2024: 24746-24755 - [c5]Tianle Zhang, Jiaxu Liu, Yanghao Zhang, Ronghui Mu, Wenjie Ruan:
DeepGRE: Global Robustness Evaluation of Deep Neural Networks. ICASSP 2024: 6990-6994 - [c4]Tianle Zhang, Yanghao Zhang, Ronghui Mu, Jiaxu Liu, Jonathan E. Fieldsend, Wenjie Ruan:
PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search. IJCAI 2024: 559-567 - [i8]Yanghao Zhang, Tianle Zhang, Ronghui Mu, Xiaowei Huang, Wenjie Ruan:
Towards Fairness-Aware Adversarial Learning. CoRR abs/2402.17729 (2024) - [i7]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) - 2023
- [j2]Yanghao Zhang, Wenjie Ruan, Fu Wang, Xiaowei Huang:
Generalizing universal adversarial perturbations for deep neural networks. Mach. Learn. 112(5): 1597-1626 (2023) - [c3]Fu Wang, Zeyu Fu, Yanghao Zhang, Wenjie Ruan:
Self-adaptive Adversarial Training for Robust Medical Segmentation. MICCAI (3) 2023: 725-735 - [i6]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) - [i5]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) - 2021
- [i4]Yanghao Zhang, Fu Wang, Wenjie Ruan:
Fooling Object Detectors: Adversarial Attacks by Half-Neighbor Masks. CoRR abs/2101.00989 (2021) - [i3]Fu Wang, Yanghao Zhang, Yanbin Zheng, Wenjie Ruan:
Gradient-Guided Dynamic Efficient Adversarial Training. CoRR abs/2103.03076 (2021) - [i2]Nicolas Berthier, Youcheng Sun, Wei Huang, Yanghao Zhang, Wenjie Ruan, Xiaowei Huang:
Tutorials on Testing Neural Networks. CoRR abs/2108.01734 (2021) - 2020
- [j1]Shaoning Zeng, Bob Zhang, Yanghao Zhang, Jianping Gou:
Dual sparse learning via data augmentation for robust facial image classification. Int. J. Mach. Learn. Cybern. 11(8): 1717-1734 (2020) - [c2]Yanghao Zhang, Wenjie Ruan, Fu Wang, Xiaowei Huang:
Generalizing Universal Adversarial Attacks Beyond Additive Perturbations. ICDM 2020: 1412-1417 - [i1]Yanghao Zhang, Wenjie Ruan, Fu Wang, Xiaowei Huang:
Generalizing Universal Adversarial Attacks Beyond Additive Perturbations. CoRR abs/2010.07788 (2020)
2010 – 2019
- 2018
- [c1]Shaoning Zeng, Bob Zhang, Yanghao Zhang, Jianping Gou:
Collaboratively Weighting Deep and Classic Representation via $l_2$ Regularization for Image Classification. ACML 2018: 502-517
Coauthor Index
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