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Backdoor attack success rates plummet to 3.88% with SCRUB-FL, all while maintaining over 91% accuracy on legitimate tasks.
Backdoor defenses can be baked into the pre-training phase of federated learning, achieving state-of-the-art attack mitigation with minimal impact on clean accuracy.
