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2020 – today
- 2022
[i15]Laurent Meunier, Raphaël Ettedgui, Rafael Pinot, Yann Chevaleyre, Jamal Atif:
Towards Consistency in Adversarial Classification. CoRR abs/2205.10022 (2022)- [i14]Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan:
Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums. CoRR abs/2205.12173 (2022) - [i13]Raphael Ettedgui, Alexandre Araujo, Rafael Pinot, Yann Chevaleyre, Jamal Atif:
Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis. CoRR abs/2206.01715 (2022) - 2021
- [j1]Arnaud Grivet Sébert
, Rafael Pinot, Martin Zuber, Cédric Gouy-Pailler, Renaud Sirdey:
SPEED: secure, PrivatE, and efficient deep learning. Mach. Learn. 110(4): 675-694 (2021) - [c6]Laurent Meunier, Meyer Scetbon, Rafael Pinot, Jamal Atif, Yann Chevaleyre:
Mixed Nash Equilibria in the Adversarial Examples Game. ICML 2021: 7677-7687 - [c5]Rachid Guerraoui, Nirupam Gupta, Rafaël Pinot, Sébastien Rouault, John Stephan:
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up? PODC 2021: 391-401 - [i12]Laurent Meunier, Meyer Scetbon, Rafael Pinot, Jamal Atif, Yann Chevaleyre:
Mixed Nash Equilibria in the Adversarial Examples Game. CoRR abs/2102.06905 (2021) - [i11]Rachid Guerraoui, Nirupam Gupta, Rafaël Pinot, Sébastien Rouault, John Stephan:
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up? CoRR abs/2102.08166 (2021) - [i10]Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif:
On the robustness of randomized classifiers to adversarial examples. CoRR abs/2102.10875 (2021) - [i9]Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Sébastien Rouault, John Stephan:
Combining Differential Privacy and Byzantine Resilience in Distributed SGD. CoRR abs/2110.03991 (2021) - 2020
- [b1]Rafael Pinot:
On the impact of randomization on robustness in machine learning. (Impact de la randomisation sur la robustesse des modèles d'apprentissage supervisé). PSL Research University, Paris, France, 2020 - [c4]Rafael Pinot, Raphael Ettedgui, Geovani Rizk, Yann Chevaleyre, Jamal Atif:
Randomization matters How to defend against strong adversarial attacks. ICML 2020: 7717-7727 - [c3]Alexandre Araujo, Laurent Meunier, Rafael Pinot, Benjamin Négrevergne:
Advocating for Multiple Defense Strategies Against Adversarial Examples. PKDD/ECML Workshops 2020: 165-177 - [i8]Rafael Pinot, Raphael Ettedgui, Geovani Rizk, Yann Chevaleyre, Jamal Atif:
Randomization matters. How to defend against strong adversarial attacks. CoRR abs/2002.11565 (2020) - [i7]Arnaud Grivet Sébert, Rafael Pinot, Martin Zuber, Cédric Gouy-Pailler, Renaud Sirdey:
SPEED: Secure, PrivatE, and Efficient Deep learning. CoRR abs/2006.09475 (2020) - [i6]Alexandre Araujo, Laurent Meunier, Rafael Pinot, Benjamin Négrevergne:
Advocating for Multiple Defense Strategies against Adversarial Examples. CoRR abs/2012.02632 (2020)
2010 – 2019
- 2019
- [c2]Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif:
Theoretical evidence for adversarial robustness through randomization. NeurIPS 2019: 11838-11848 - [i5]Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif:
Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family. CoRR abs/1902.01148 (2019) - [i4]Alexandre Araujo, Rafael Pinot, Benjamin Négrevergne, Laurent Meunier, Yann Chevaleyre, Florian Yger, Jamal Atif:
Robust Neural Networks using Randomized Adversarial Training. CoRR abs/1903.10219 (2019) - [i3]Rafael Pinot, Florian Yger, Cédric Gouy-Pailler, Jamal Atif:
A unified view on differential privacy and robustness to adversarial examples. CoRR abs/1906.07982 (2019) - 2018
- [c1]Rafael Pinot, Anne Morvan, Florian Yger, Cédric Gouy-Pailler, Jamal Atif:
Graph-based Clustering under Differential Privacy. UAI 2018: 329-338 - [i2]Rafael Pinot:
Minimum spanning tree release under differential privacy constraints. CoRR abs/1801.06423 (2018) - [i1]Rafael Pinot, Anne Morvan, Florian Yger, Cédric Gouy-Pailler, Jamal Atif:
Graph-based Clustering under Differential Privacy. CoRR abs/1803.03831 (2018)
Coauthor Index
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