VFLIP: A Backdoor Defense for Vertical Federated Learning via
Identification and Purification
VFLIP: A Backdoor Defense for Vertical Federated Learning via
Identification and Purification
Vertical Federated Learning (VFL) focuses on handling vertically partitioned data over FL participants. Recent studies have discovered a significant vulnerability in VFL to backdoor attacks which specifically target the distinct characteristics of VFL. Therefore, these attacks may neutralize existing defense mechanisms designed primarily for Horizontal Federated Learning (HFL) and deep …