Tu-Li Chen

VDFedDiff: a novel versatile defense scheme against adversarial attacks in federated diffusion models

Federated learning (FL) enables multiple clients to collaboratively train machine learning models without sharing their raw data, making it a promising paradigm for privacy-sensitive generative applications. However, diffusion models trained in federated environments remain vulnerable to backdoor, evasion, and model-po...