Private Machine Learning in TensorFlow using Secure Computation. - Morten Dahl; Jason Mancuso; Yann Dupis; Ben Decoste; Morgan Giraud; Ian Livingstone; Justin Patriquin; Gavin Uhma (CoRR, 2018)

A generic framework for privacy preserving deep learning. - Théo Ryffel; Andrew Trask; Morten Dahl; Bobby Wagner; Jason Mancuso; Daniel Rueckert; Jonathan Passerat-Palmbach (CoRR, 2018)

Detecting Spiky Corruption in Markov Decision Processes. - Jason Mancuso; Tomasz Kisielewski; David Lindner; Alok Singh 006 (AISafety@IJCAI, 2019)

Privacy-preserving medical image analysis. - Alexander Ziller; Jonathan Passerat-Palmbach; Théo Ryffel; Dmitrii Usynin; Andrew Trask; Ionésio Da Lima Costa Junior; Jason Mancuso; Marcus R. Makowski; Daniel Rueckert; Rickmer Braren; Georgios Kaissis (CoRR, 2020)

Privacy-preserving collaborative machine learning on genomic data using TensorFlow. - Cheng Hong 001; Zhicong Huang; Wen-jie Lu; Hunter Qu; Li Ma; Morten Dahl; Jason Mancuso (IACR Cryptol. ePrint Arch., 2020)

End-to-end privacy preserving deep learning on multi-institutional medical imaging. - Georgios Kaissis; Alexander Ziller; Jonathan Passerat-Palmbach; Théo Ryffel; Dmitrii Usynin; Andrew Trask; Ionésio Lima; Jason Mancuso; Friederike Jungmann; Marc-Matthias Steinborn; Andreas Saleh; Marcus R. Makowski; et al. (Nat. Mach. Intell., 2021)