Rafael Pinot

发表

Graph-based Clustering under Differential Privacy pdf

Rafael Pinot, Anne Morvan, Florian Yger, 2018, UAI.

Minimum spanning tree release under differential privacy constraints pdf

Rafael Pinot, Rafael Pinot, 2018, ArXiv.

SPEED: Secure, PrivatE, and Efficient Deep learning pdf

Rafael Pinot, Renaud Sirdey, Martin Zuber, 2020, ArXiv.

A unified view on differential privacy and robustness to adversarial examples pdf

Rafael Pinot, Florian Yger, Cédric Gouy-Pailler, 2019, ArXiv.

Advocating for Multiple Defense Strategies against Adversarial Examples pdf

Rafael Pinot, Benjamin Negrevergne, Laurent Meunier, 2020, PKDD/ECML Workshops.

Robust Neural Networks using Randomized Adversarial Training pdf

Yann Chevaleyre, Rafael Pinot, Florian Yger, 2019, ArXiv.

Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family pdf

Hisashi Kashima, Rafael Pinot, Florian Yger, 2019, ArXiv.

Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family

Hisashi Kashima, Rafael Pinot, Florian Yger, 2019, NeurIPS.

Randomization matters. How to defend against strong adversarial attacks

Yann Chevaleyre, Rafael Pinot, Jamal Atif, 2020, ICML.

On the robustness of randomized classifiers to adversarial examples pdf

Yann Chevaleyre, Rafael Pinot, Florian Yger, 2021, Machine Learning.

SPEED: secure, PrivatE, and efficient deep learning

Rafael Pinot, Renaud Sirdey, Martin Zuber, 2020, Machine Learning.

Combining Differential Privacy and Byzantine Resilience in Distributed SGD pdf

Rachid Guerraoui, Rafael Pinot, Nirupam Gupta, 2021, ArXiv.

Mixed Nash Equilibria in the Adversarial Examples Game

Yann Chevaleyre, Rafael Pinot, Jamal Atif, 2021, ICML.

Differential Privacy and Byzantine Resilience in SGD: Do They Add Up?

Rachid Guerraoui, Rafael Pinot, Nirupam Gupta, 2021, PODC.