Open access
Jul 2026
CAEBA: A Dynamic Hidden Backdoor Attack Framework in Federated Learning
This work proposes CAEBA (Conditional AutoEncoder Backdoor Attack), a dynamic hidden backdoor framework that uses a conditional autoencoder to generate target-aware and visually stealthy triggers while progressively implanting the backdoor through federated optimization.
Xiaojun Guo, Guoliang Li, Yun Hu
· ACM Transactions on Privacy... · 0 citations