Théo Ryffel - RankMe

14 papers A* 1Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Annotate French Clinical Data Using Large Language Model Predictions. ICHI Simon Meoni, Théo Ryffel, Éric de la Clergerie
2023	—	`conf`	Annotation d'entités cliniques en utilisant les Larges Modèles de Langue. CORIA-TALN (1) Simon Meoni, Théo Ryffel, Éric Villemonte de la Clergerie
2023	—	`conf`	Large Language Models as Instructors: A Study on Multilingual Clinical Entity Extraction. BioNLP@ACL Simon Meoni, Éric de la Clergerie, Théo Ryffel
2022	J	`jnl`	AriaNN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing. Proc. Priv. Enhancing Technol. Théo Ryffel, Pierre Tholoniat, David Pointcheval, Francis R. Bach
2022	—	`—`	Cryptography for Privacy-Preserving Machine Learning. (Cryptographie pour l'apprentissage automatique respectueux de la vie privée). Théo Ryffel
2022	J	`jnl`	Differential Privacy Guarantees for Stochastic Gradient Langevin Dynamics. CoRR Théo Ryffel, Francis R. Bach, David Pointcheval
2021	J	`jnl`	End-to-end privacy preserving deep learning on multi-institutional medical imaging. Nat. Mach. Intell. 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, Daniel Rueckert, Rickmer Braren
2021	J	`jnl`	Syft 0.5: A Platform for Universally Deployable Structured Transparency. CoRR 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
2020	J	`jnl`	ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing. CoRR Théo Ryffel, David Pointcheval, Francis R. Bach
2020	J	`jnl`	Privacy-preserving medical image analysis. CoRR 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
2020	J	`jnl`	Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims. CoRR Miles Brundage, Shahar Avin, Jasmine Wang, Haydn Belfield, Gretchen Krueger, Gillian K. Hadfield, Heidy Khlaaf, Jingying Yang, Helen Toner, Ruth Fong, Tegan Maharaj, Pang Wei Koh, Sara Hooker, Jade Leung, Andrew Trask, Emma Bluemke, Jonathan Lebensold, Cullen O'Keefe, Mark Koren, Théo Ryffel, J. B. Rubinovitz, Tamay Besiroglu, Federica Carugati, Jack Clark, Peter Eckersley, Sarah de Haas, Maritza Johnson, Ben Laurie, Alex Ingerman, Igor Krawczuk, Amanda Askell, Rosario Cammarota, Andrew Lohn, David Krueger, Charlotte Stix, Peter Henderson, Logan Graham, Carina Prunkl, Bianca Martin, Elizabeth Seger, Noa Zilberman, Seán Ó hÉigeartaigh, Frens Kroeger, Girish Sastry, Rebecca Kagan, Adrian Weller, Brian Tse, Elizabeth Barnes, Allan Dafoe, Paul Scharre, Ariel Herbert-Voss, Martijn Rasser, Shagun Sodhani, Carrick Flynn, Thomas Krendl Gilbert, Lisa Dyer, Saif M. Khan, Yoshua Bengio, Markus Anderljung
2019	A*	`conf`	Partially Encrypted Deep Learning using Functional Encryption. NeurIPS Théo Ryffel, David Pointcheval, Francis R. Bach, Edouard Dufour-Sans, Romain Gay
2019	J	`jnl`	Partially Encrypted Machine Learning using Functional Encryption. CoRR Théo Ryffel, Edouard Dufour Sans, Romain Gay, Francis R. Bach, David Pointcheval
2018	J	`jnl`	A generic framework for privacy preserving deep learning. CoRR Théo Ryffel, Andrew Trask, Morten Dahl, Bobby Wagner, Jason Mancuso, Daniel Rueckert, Jonathan Passerat-Palmbach