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As a distributed machine learning paradigm, Federated Learning (FL) enables large-scale clients to collaboratively train a model without sharing their raw data.
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Fltrust: Byzantine-robust federated learning via trust bootstrapping
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Sleeper agent: Scalable hidden trigger backdoors for neural networks trained from scratch. In Advances in Neural Information Processing Systems (NeurIPS) . 19165–19178
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GitFL: Uncertainty-Aware Real-Time Asynchronous Federated Learning Using Version Control. In Proceedings of IEEE Real-Time Systems Symposium (RTSS) . 145–157
Ming Hu, Zeke Xia, Dengke Yan, Zhihao Yue, Jun Xia, Yihao Huang, Yang Liu, and Mingsong Chen. 2023 · 2023
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Model-Contrastive Learning for Backdoor Elimination. In Proceedings of ACM International Conference on Multimedia (MM) . 8869–8880
Zhihao Yue, Jun Xia, Zhiwei Ling, Ming Hu, Ting Wang, Xian Wei, and Mingsong Chen. 2023 · 2023
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A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning. In Advances in Neural Information Processing Systems (NeurIPS)
Hangfan Zhang, Jinyuan Jia, Jinghui Chen, Lu Lin, and Dinghao Wu. 2023 · 2023
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On the Vulnerability of Backdoor Defenses for Federated Learning. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) . 11800–11808
Pei Fang and Jinghui Chen. 2023 · 2023
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FedMut: Generalized Federated Learning via Stochastic Mutation. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) . 12528–12537
Ming Hu, Yue Cao, Anran Li, Zhiming Li, Chengwei Liu, Tianlin Li, Mingsong Chen, and Yang Liu. 2024 · 2024
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Federated learning for generalization, robustness, fairness: A survey and benchmark
Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du, and Qiang Yang. 2024 · 2024
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NTD: Non-Transferability Enabled Deep Learning Backdoor Detection
Yinshan Li, Hua Ma, Zhi Zhang, Yansong Gao, Alsharif Abuadbba, Minhui Xue, Anmin Fu, Yifeng Zheng, Said F. Al-Sarawi, and Derek Abbott. 2024 · 2024
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SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification. In Advances in Neural Information Processing Systems (NeurIPS) . 121236–121264
Yanxin Yang, Chentao Jia, DengKe Yan, Ming Hu, Tianlin Li, Xiaofei Xie, Xian Wei, and Mingsong Chen. 2024 · 2024
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Fedredefense: Defending against model poisoning attacks for federated learning using model update reconstruction error. In Proceedings of International Conference on Machine Learning (ICML)
XIE Yueqi, Minghong Fang, and Neil Zhenqiang Gong. 2024 · 2024
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