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Privacy-preserving medical image analysis


Dec 10, 2020
Alexander Ziller, Jonathan Passerat-Palmbach, Théo Ryffel, Dmitrii Usynin, Andrew Trask, Ionésio Da Lima Costa Junior, Jason Mancuso, Marcus Makowski, Daniel Rueckert, Rickmer Braren, Georgios Kaissis

* Accepted at the workshop for Medical Imaging meets NeurIPS, 34th Conference on Neural Information Processing Systems (NeurIPS) December 11, 2020 

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Detecting Spiky Corruption in Markov Decision Processes


Jun 30, 2019
Jason Mancuso, Tomasz Kisielewski, David Lindner, Alok Singh

* paper accepted to the AI Safety Workshop at IJCAI-19 

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A generic framework for privacy preserving deep learning


Nov 13, 2018
Theo Ryffel, Andrew Trask, Morten Dahl, Bobby Wagner, Jason Mancuso, Daniel Rueckert, Jonathan Passerat-Palmbach

* PPML 2018, 5 pages 

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Private Machine Learning in TensorFlow using Secure Computation


Oct 23, 2018
Morten Dahl, Jason Mancuso, Yann Dupis, Ben Decoste, Morgan Giraud, Ian Livingstone, Justin Patriquin, Gavin Uhma


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