Exploring adversarial attacks in federated learning for medical imaging

Erfan Darzi, Florian Dubost, N. M. Sijtsema +1

Federated learning offers a privacy-preserving framework for medical image analysis but exposes the system to adversarial attacks. This paper aims to evaluate the vulnerabilities o…