SPA is a federated learning backdoor attack that aligns trigger features with target class features in the model's latent space, achieving high, persistent attack success rates while evading detection-based defenses.
Federated learning for open banking,
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SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning
SPA is a federated learning backdoor attack that aligns trigger features with target class features in the model's latent space, achieving high, persistent attack success rates while evading detection-based defenses.