most citedKick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification

1 citations · 1 across the 2 of their papers we have counts for

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cs.CR2023★ 1 cited

Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification

Shanshan Han, Wenxuan Wu, Baturalp Buyukates +4

Federated Learning (FL) systems are susceptible to adversarial attacks, such as model poisoning attacks and backdoor attacks. Existing defense mechanisms face critical limitations…

cs.CR2023

FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMs

Shanshan Han, Baturalp Buyukates, Zijian Hu +13

This paper introduces FedSecurity, an end-to-end benchmark that serves as a supplementary component of the FedML library for simulating adversarial attacks and corresponding defens…