Search Results for author: Theo Ryffel

Found 2 papers, 2 papers with code

A generic framework for privacy preserving deep learning

4 code implementations • 9 Nov 2018 • Theo Ryffel, Andrew Trask, Morten Dahl, Bobby Wagner, Jason Mancuso, Daniel Rueckert, Jonathan Passerat-Palmbach

We detail a new framework for privacy preserving deep learning and discuss its assets.

Federated Learning Privacy Preserving +1

9,241

Paper
Code

Partially Encrypted Machine Learning using Functional Encryption

3 code implementations • 24 May 2019 • Theo Ryffel, Edouard Dufour-Sans, Romain Gay, Francis Bach, David Pointcheval

Machine learning on encrypted data has received a lot of attention thanks to recent breakthroughs in homomorphic encryption and secure multi-party computation.

BIG-bench Machine Learning Privacy Preserving

Paper
Code

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