Pinot Rafael
Pinot Rafael
Université Paris Dauphine - Institut CEA LIST
Adresse e-mail validée de dauphine.fr
Titre
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Année
Theoretical evidence for adversarial robustness through randomization
R Pinot, L Meunier, A Araujo, H Kashima, F Yger, C Gouy-Pailler, J Atif
Advances in Neural Information Processing Systems 32, 2019
182019
Robust Neural Networks using Randomized Adversarial Training
A Araujo, L Meunier, R Pinot, B Negrevergne
arXiv preprint arXiv:1903.10219, 2019
122019
Graph-based Clustering under Differential Privacy
R Pinot, A Morvan, F Yger, C Gouy-Pailler, J Atif
Conference on Uncertainty in Artificial Intelligence (UAI), 2018
72018
Minimum spanning tree release under differential privacy constraints
R Pinot
Sorbonne University, 2018
52018
A unified view on differential privacy and robustness to adversarial examples
R Pinot, F Yger, C Gouy-Pailler, J Atif
Workshop on Machine Learning for CyberSecurity (MLCS@ECML-PKDD), 2019
32019
Randomization matters. How to defend against strong adversarial attacks
R Pinot, R Ettedgui, G Rizk, Y Chevaleyre, J Atif
arXiv preprint arXiv:2002.11565, 2020
12020
SPEED: Secure, PrivatE, and Efficient Deep learning
A Grivet Sébert, R Pinot, M Zuber, C Gouy-Pailler, R Sirdey
arXiv, arXiv: 2006.09475, 2020
2020
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