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ORCIDJean Ogier du Terrail
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2020 – today
- 2023
[c5]Tanguy Marchand, Regis Loeb, Ulysse Marteau-Ferey, Jean Ogier du Terrail, Arthur Pignet:
SRATTA: Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning. ICML 2023: 23886-23914- [i8]Tanguy Marchand, Régis Loeb, Ulysse Marteau-Ferey, Jean Ogier du Terrail, Arthur Pignet:
SRATTA : Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning. CoRR abs/2306.07644 (2023) - [i7]Jean Ogier du Terrail, Quentin Klopfenstein, Honghao Li, Imke Mayer, Nicolas Loiseau, Mohammad Hallal, Félix Balazard, Mathieu Andreux:
FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings. CoRR abs/2311.16984 (2023) - 2022
- [c4]Tanguy Marchand, Boris Muzellec, Constance Beguier, Jean Ogier du Terrail, Mathieu Andreux:
SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning. NeurIPS 2022 - [c3]Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux:
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. NeurIPS 2022 - [i6]Tanguy Marchand, Boris Muzellec, Constance Beguier, Jean Ogier du Terrail, Mathieu Andreux:
SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning. CoRR abs/2210.01639 (2022) - [i5]Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux:
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. CoRR abs/2210.04620 (2022) - 2021
- [i4]Constance Beguier, Jean Ogier du Terrail, Iqraa Meah, Mathieu Andreux
, Eric W. Tramel:
Differentially Private Federated Learning for Cancer Prediction. CoRR abs/2101.02997 (2021) - 2020
- [c2]Mathieu Andreux, Jean Ogier du Terrail, Constance Beguier, Eric W. Tramel:
Siloed Federated Learning for Multi-centric Histopathology Datasets. DART/DCL@MICCAI 2020: 129-139 - [i3]Mathieu Andreux, Jean Ogier du Terrail, Constance Beguier, Eric W. Tramel:
Siloed Federated Learning for Multi-Centric Histopathology Datasets. CoRR abs/2008.07424 (2020)
2010 – 2019
- 2018
- [b1]Jean Ogier du Terrail:
Réseaux de neurones convolutionnels profonds pour la détection de petits véhicules en imagerie aérienne. (Deep neural networks for the detection of small vehicles in aerial imagery). Normandy University, Caen, France, 2018 - [i2]Shivang Agarwal, Jean Ogier du Terrail, Frédéric Jurie:
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks. CoRR abs/1809.03193 (2018) - [i1]Jean Ogier du Terrail, Frédéric Jurie:
Faster RER-CNN: application to the detection of vehicles in aerial images. CoRR abs/1809.07628 (2018) - 2017
- [c1]Jean Ogier du Terrail, Frédéric Jurie:
On the use of deep neural networks for the detection of small vehicles in ortho-images. ICIP 2017: 4212-4216
Coauthor Index
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