4.2k citations · 4.2k across the 8 of their papers we have counts for
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cs.LG2023★ 1 cited
The Hidden Adversarial Vulnerabilities of Medical Federated Learning
Erfan Darzi, Florian Dubost, Nanna. M. Sijtsema +1
In this paper, we delve into the susceptibility of federated medical image analysis systems to adversarial attacks. Our analysis uncovers a novel exploitation avenue: using gradien…
cs.LG2023★ 2 cited
A Comparative Study of Federated Learning Models for COVID-19 Detection
Erfan Darzidehkalani, Nanna M. Sijtsema, P. M. A van Ooijen
Deep learning is effective in diagnosing COVID-19 and requires a large amount of data to be effectively trained. Due to data and privacy regulations, hospitals generally have no ac…