Song Ma

Sneakdoor introduces a novel backdoor attack method that enhances stealthiness in dataset condensation by using a generative module to create input-aware triggers, achieving high attack efficacy while remaining imperceptible.

FedIDM introduces a novel federated learning framework that uses iterative distribution matching to achieve fast and stable convergence and maintain high model utility even when facing a large proportion of Byzantine malicious clients.