Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy

10 June 2023

Georgios Kaissis

Daniel Truhn

Papers citing "Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy"

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Title
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging Soroosh Tayebi Arasteh Alexander Ziller Christiane Kuhl Marcus R. Makowski S. Nebelung R. Braren Daniel Rueckert Daniel Truhn Georgios Kaissis MedIm 37 17 0 03 Feb 2023
Opacus: User-Friendly Differential Privacy Library in PyTorch Ashkan Yousefpour I. Shilov Alexandre Sablayrolles Davide Testuggine Karthik Prasad ... Sayan Gosh Akash Bharadwaj Jessica Zhao Graham Cormode Ilya Mironov VLM 168 350 0 25 Sep 2021