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Théo Ryffel
Théo Ryffel
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A generic framework for privacy preserving deep learning
T Ryffel, A Trask, M Dahl, B Wagner, J Mancuso, D Rueckert, ...
arXiv preprint arXiv:1811.04017, 2018
3522018
Toward trustworthy AI development: mechanisms for supporting verifiable claims
M Brundage, S Avin, J Wang, H Belfield, G Krueger, G Hadfield, H Khlaaf, ...
arXiv preprint arXiv:2004.07213, 2020
1842020
End-to-end privacy preserving deep learning on multi-institutional medical imaging
G Kaissis, A Ziller, J Passerat-Palmbach, T Ryffel, D Usynin, A Trask, ...
Nature Machine Intelligence 3 (6), 473-484, 2021
1242021
Pysyft: A library for easy federated learning
A Ziller, A Trask, A Lopardo, B Szymkow, B Wagner, E Bluemke, ...
Federated Learning Systems: Towards Next-Generation AI, 111-139, 2021
662021
Ariann: Low-interaction privacy-preserving deep learning via function secret sharing
T Ryffel, P Tholoniat, D Pointcheval, F Bach
Proceedings on Privacy Enhancing Technologies 2022 (1), 291-316, 2022
382022
Partially encrypted machine learning using functional encryption
T Ryffel, E Dufour-Sans, R Gay, F Bach, D Pointcheval
arXiv preprint arXiv:1905.10214, 2019
282019
Partially encrypted deep learning using functional encryption
T Ryffel, D Pointcheval, F Bach, E Dufour-Sans, R Gay
Advances in Neural Information Processing Systems 32, 2019
282019
Differential privacy guarantees for stochastic gradient langevin dynamics
T Ryffel, F Bach, D Pointcheval
arXiv preprint arXiv:2201.11980, 2022
62022
Privacy-preserving medical image analysis
A Ziller, J Passerat-Palmbach, T Ryffel, D Usynin, A Trask, IDLC Junior, ...
arXiv preprint arXiv:2012.06354, 2020
62020
A generic framework for privacy preserving deep learning. ArXiv
T Ryffel, A Trask, M Dahl, B Wagner, J Mancuso, D Rueckert, ...
61811
Syft 0.5: A platform for universally deployable structured transparency
AJ Hall, M Jay, T Cebere, B Cebere, KL van der Veen, G Muraru, T Xu, ...
arXiv preprint arXiv:2104.12385, 2021
52021
Cryptography for Privacy-Preserving Machine Learning
T Ryffel
Imperial College London, 2022
2022
Cryptography for Privacy-Preserving Machine Learning
T Ryffel
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