A Robust and Efficient Federated Learning Algorithm Against Adaptive Model Poisoning Attacks
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DOI: 10.1109/jiot.2024.3351371
Abstract: With the undetectable characteristic, adaptive model poisoning attacks can combine with any other attacks, bypassing the detection and violating the availability of federated learning (FL) systems. Existing defences are vulnerable to adaptive model poisoning attacks,… read more here.
Keywords: adaptive attacks; adaptive model; model poisoning; model ... See more keywords