| Challenges and approaches for mitigating byzantine attacks in federated learning J Shi, W Wan, S Hu, J Lu, LY Zhang 2022 IEEE International Conference on Trust, Security and Privacy in …, 2022 | 93 | 2022 |
| Shielding federated learning: Robust aggregation with adaptive client selection W Wan, S Hu, J Lu, LY Zhang, H Jin, Y He IJCAI 2022, 2022 | 38 | 2022 |
| Shielding federated learning: A new attack approach and its defense W Wan, J Lu, S Hu, LY Zhang, X Pei 2021 IEEE Wireless Communications and Networking Conference (WCNC), 1-7, 2021 | 27 | 2021 |
| Why does little robustness help? a further step towards understanding adversarial transferability Y Zhang, S Hu, LY Zhang, J Shi, M Li, X Liu, W Wan, H Jin 2024 IEEE Symposium on Security and Privacy (SP), 3365-3384, 2024 | 24 | 2024 |
| A four-pronged defense against byzantine attacks in federated learning W Wan, S Hu, M Li, J Lu, L Zhang, LY Zhang, H Jin Proceedings of the 31st ACM International Conference on Multimedia, 7394-7402, 2023 | 22 | 2023 |
| Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples Z Zhou, M Li, W Liu, S Hu, Y Zhang, W Wan, L Xue, LY Zhang, D Yang, ... Proceedings of the 45th IEEE Symposium on Security and Privacy (S&P’24) 3, 2024 | 9 | 2024 |
| Shielding Federated Learning: Mitigating Byzantine Attacks with Less Constraints M Li, W Wan, J Lu, S Hu, J Shi, LY Zhang, M Zhou, Y Zheng 2022 18th International Conference on Mobility, Sensing and Networking (MSN …, 2022 | 7 | 2022 |
| ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification X Wang, S Hu, Y Zhang, Z Zhou, LY Zhang, P Xu, W Wan, H Jin ESORICS 2024, 2024 | 5 | 2024 |
| DarkFed: A Data-Free Backdoor Attack in Federated Learning M Li, W Wan, Y Ning, S Hu, L Xue, LY Zhang, Y Wang IJCAI 2024, 2024 | 5 | 2024 |
| Misa: Unveiling the vulnerabilities in split federated learning W Wan, Y Ning, S Hu, L Xue, M Li, LY Zhang, H Jin ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 4 | 2024 |
| NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors Z Zhou, B Li, Y Song, Z Yu, S Hu, W Wan, LY Zhang, D Yao, H Jin arXiv preprint arXiv:2412.16955, 2024 | 2 | 2024 |
| Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Y Wang, Y Chou, Z Zhou, H Zhang, W Wan, S Hu, M Li AAAI 2025, 2024 | 2 | 2024 |
| PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentation Y Song, Z Zhou, M Li, X Wang, M Deng, W Wan, S Hu, LY Zhang ICASSP 2025, 2024 | 2 | 2024 |
| TrojanRobot: Backdoor Attacks Against Robotic Manipulation in the Physical World X Wang, H Pan, H Zhang, M Li, S Hu, Z Zhou, L Xue, P Guo, Y Wang, ... arXiv e-prints, arXiv: 2411.11683, 2024 | 2 | 2024 |
| Depriving the survival space of adversaries against poisoned gradients in federated learning J Lu, S Hu, W Wan, M Li, LY Zhang, L Xue, H Jin IEEE Transactions on Information Forensics and Security 19, 5405-5418, 2024 | 2 | 2024 |
| Preserving Privacy of Input Features Across All Stages of Collaborative Learning J Lu, L Xue, W Wan, M Li, LY Zhang, S Hu 2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2023 | 2 | 2023 |
| ViDTA: Enhanced Drug-Target Affinity Prediction via Virtual Graph Nodes and Attention-based Feature Fusion M Li, Z Guo, Y Wu, P Guo, Y Shi, S Hu, W Wan, S Hu BIBM, 2024 | | 2024 |
| MVSF-AB: Accurate antibody-antigen binding affinity prediction via multi-view sequence feature learning M Li, Y Shi, S Hu, S Hu, P Guo, W Wan, LY Zhang, S Pan, J Li, L Sun, ... Bioinformatics, btae579, 2024 | | 2024 |
| Enhancing Generalization Robustness of Federated Learning in Highly Heterogeneous Environments W Wan, S Hu, J Lu, M Li, Z Zhou, H Jin. SCIENTIA SINICA Informationis, 2024 | | 2024 |
Shengshan HuSchool of CSE, Huazhong University of Science and Technology (HUST)Verified email at hust.edu.cn
