31 citations · 53 across the 18 of their papers we have counts for
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cs.LG2022★ 5 cited
Bringing the Algorithms to the Data -- Secure Distributed Medical Analytics using the Personal Health Train (PHT-meDIC)
Marius de Arruda Botelho Herr, Michael Graf, Peter Placzek +11
The need for data privacy and security -- enforced through increasingly strict data protection regulations -- renders the use of healthcare data for machine learning difficult. In…
cs.LG2022★ 5 cited
CECILIA: Comprehensive Secure Machine Learning Framework
Ali Burak Ünal, Nico Pfeifer, Mete Akgün
Since ML algorithms have proven their success in many different applications, there is also a big interest in privacy preserving (PP) ML methods for building models on sensitive da…