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uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering

8 citations · 8 across the 2 of their papers we have counts for

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cs.CR2023★ 8 cited

G $^{2}$ uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering

Hao Yu, Chuan Ma, Meng Liu +5

Federated Learning (FL) offers collaborative model training without data sharing but is vulnerable to backdoor attacks, where poisoned model weights lead to compromised system inte…

G2uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering

G $^{2}$ uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering