Detection and Prevention Against Poisoning Attacks in Federated Learning

no code implementations • 24 Oct 2022 • Viktor Valadi, Madeleine Englund, Mark Spanier, Austin O'brien

This paper proposes and investigates a new approach for detecting and preventing several different types of poisoning attacks from affecting a centralized Federated Learning model via average accuracy deviation detection (AADD).

Federated Learning