| 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 | 352 | 2018 |
| 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 | 184 | 2020 |
| 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 | 124 | 2021 |
| 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 | 66 | 2021 |
| 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 | 38 | 2022 |
| Partially encrypted machine learning using functional encryption T Ryffel, E Dufour-Sans, R Gay, F Bach, D Pointcheval arXiv preprint arXiv:1905.10214, 2019 | 28 | 2019 |
| 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 | 28 | 2019 |
| Differential privacy guarantees for stochastic gradient langevin dynamics T Ryffel, F Bach, D Pointcheval arXiv preprint arXiv:2201.11980, 2022 | 6 | 2022 |
| Privacy-preserving medical image analysis A Ziller, J Passerat-Palmbach, T Ryffel, D Usynin, A Trask, IDLC Junior, ... arXiv preprint arXiv:2012.06354, 2020 | 6 | 2020 |
| A generic framework for privacy preserving deep learning. ArXiv T Ryffel, A Trask, M Dahl, B Wagner, J Mancuso, D Rueckert, ... | 6 | 1811 |
| 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 | 5 | 2021 |
| Cryptography for Privacy-Preserving Machine Learning T Ryffel Imperial College London, 2022 | | 2022 |
| Cryptography for Privacy-Preserving Machine Learning T Ryffel | | |
Andrew TraskUniversity of Oxford and OpenMinedAdresse e-mail validée de openmined.org
