2023
Multi-Metrics Adaptively Identifies Backdoors in Federated Learning
ICCV 2023poster
The decentralized and privacy-preserving nature of federated learning (FL) makes it vulnerable to backdoor attacks aiming to manipulate the behavior of the resulting model on specific adversary-chosen inputs. However, most existing defenses based on statistical differences take effect only against s…