Revisiting personalized federated learning: Robustness against backdoor attacks

Z Qin, L Yao, D Chen, Y Li, B Ding… - Proceedings of the 29th …, 2023 - dl.acm.org
In this work, besides improving prediction accuracy, we study whether personalization could
bring robustness benefits to backdoor attacks. We conduct the first study of backdoor attacks …
被引用次数：16 相关文章

Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks

Z Qin, L Yao, D Chen, Y Li, B Ding, M Cheng - arXiv preprint arXiv …, 2023 - arxiv.org
In this work, besides improving prediction accuracy, we study whether personalization could
bring robustness benefits to backdoor attacks. We conduct the first study of backdoor attacks …

Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks

Z Qin, L Yao, D Chen, Y Li, B Ding… - 29th ACM SIGKDD …, 2023 - pure.psu.edu
In this work, besides improving prediction accuracy, we study whether personalization could
bring robustness benefits to backdoor attacks. We conduct the first study of backdoor attacks …
[PDF] academia.edu

[PDF][PDF] Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks

Z Qin, L Yao, D Chen, Y Li, B Ding, M Cheng - 2023 - academia.edu
In this work, besides improving prediction accuracy, we study whether personalization could
bring robustness benefits to backdoor attacks. We conduct the first study of backdoor attacks …

Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks

Z Qin, L Yao, D Chen, Y Li, B Ding, M Cheng - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
In this work, besides improving prediction accuracy, we study whether personalization could
bring robustness benefits to backdoor attacks. We conduct the first study of backdoor attacks …