| 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 arXiv preprint arXiv:2204.13256, 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 |
| 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 |
| 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 |
| Toward a Team of AI-made Scientists for Scientific Discovery from Gene Expression Data H Liu, Y Li, J Jian, Y Cheng, J Lu, S Guo, J Zhu, M Zhang, M Zhang, ... arXiv preprint arXiv:2402.12391, 2024 | 3 | 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 |