Federated learning backdoor attack detection with persistence diagram

Zihan Ma, Tianchong Gao

Abstract: Highlights•Introduced a classifier using Persistence Homology to identify malicious clients in Federated Learning.•Our method integrates topological data analysis with machine learning for a comprehensive understanding of backdoor attacks.•Utilized Persistence Diagrams for a novel loss function calculation in the classifier.