2 papers
cs.LG2026
Fine-grained Distributed Backdoor Attacks in Federated Learning
Jian Wang, Hong Shen, Wei Ke +1
Federated learning, as a privacy-preserving distributed machine learning paradigm, faces significant threats from backdoor attacks. Compared to centralized attacks, distributed bac…
cs.CR2025
Unveiling Hidden Threats: Using Fractal Triggers to Boost Stealthiness of Distributed Backdoor Attacks in Federated Learning
Jian Wang, Hong Shen, Chan-Tong Lam
Traditional distributed backdoor attacks (DBA) in federated learning improve stealthiness by decomposing global triggers into sub-triggers, which however requires more poisoned dat…