A malicious federated-learning client can hide a backdoor by adding trigger-labeled samples plus camouflage samples, then activate it by requesting unlearning of the camouflage samples.
Neural network semantic backdoor detection and mitigation: A {Causality-Based} approach,
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BadFU: Backdoor Federated Learning through Adversarial Machine Unlearning
A malicious federated-learning client can hide a backdoor by adding trigger-labeled samples plus camouflage samples, then activate it by requesting unlearning of the camouflage samples.