Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Théo Ryffel

Syft 0.5: A Platform for Universally Deployable Structured Transparency

Apr 27, 2021
Adam James Hall, Madhava Jay, Tudor Cebere, Bogdan Cebere, Koen Lennart van der Veen, George Muraru, Tongye Xu, Patrick Cason, William Abramson, Ayoub Benaissa, Chinmay Shah, Alan Aboudib, Théo Ryffel, Kritika Prakash, Tom Titcombe, Varun Kumar Khare, Maddie Shang, Ionesio Junior, Animesh Gupta, Jason Paumier, Nahua Kang, Vova Manannikov, Andrew Trask

* ICLR 2021 Workshop on Distributed and Private Machine Learning (DPML 2021) 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing

Jun 08, 2020
Théo Ryffel, David Pointcheval, Francis Bach

  Access Paper or Ask Questions