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cs.LG2026
Backdoors Leave Structural Traces: FedMAST for Backdoor Detection and Containment in Federated Learning
Srinivasan Subramanian, Kazi Aminul Islam, Md. Abdullah Al Hafiz Khan
Federated learning enables distributed training without requiring clients to share their raw data. However, its reliance on the integrity of the client-submitted updates exposes th…
cs.LG2026
Bypassing Krum: Selection-Aware Backdoor Attacks in Federated Learning
Srinivasan Subramanian, Md. Abdullah Al Hafiz Khan, Kazi Aminul Islam
Robust aggregation methods are widely used in federated learning to mitigate the impact of adversarial client behavior. Distance-based aggregation rules, such as Krum and Multi-Kru…