AIBullisharXiv – CS AI · 11h ago6/10
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MedFedPure: A Medical Federated Framework with MAE-based Detection and Diffusion Purification for Inference-Time Attacks
Researchers present MedFedPure, a federated learning defense framework that protects medical AI models from adversarial attacks at inference time while preserving patient privacy. The system combines personalized federated learning, masked autoencoders for attack detection, and diffusion-based purification, achieving 87.33% robustness against strong attacks while maintaining 97.67% clean accuracy on brain MRI datasets.