Rafael Pinot

Postdoctoral researcher in Computer Science

École Polytechnique Fédérale de Lausanne


I am currently a postdoctoral researcher at École Polytechnique Fédérale de Lausanne. I work with Pr. Rachid Guerraoui, Pr. Anne-Marie Kermarrec and Pr. Carmela Troncoso within the Ecocloud Research Center. From october 2017 to december 2020 I completed my PhD in Computer Science at Université Paris Dauphine-PSL and CEA LIST institute, Université Paris Saclay where I was advised by Pr. Jamal Atif, Dr. Florian Yger, and Dr. Cédric Gouy-Pailler. Prior to that, I also obtained in 2017 a MSc in Theoretical and Applied Statistics from Sorbonne Université (Paris 6).

My main line of research is in statistical machine learning with a focus on the security and privacy of machine learning applications. I also like to work on statistical analysis of complex data structures such as graphs.

In response to the current Covid-19 crisis, I joined a scientific initiative coordinated by Pr. Jamal Atif and Pr. Olivier Cappé. Learn more about it here.


  • Statistical Machine learning
  • Security and Privacy in Machine Learning
  • Graph Theory


  • PhD in Computer Science, 2020

    PSL University (Paris-Dauphine)

  • MSc in Applied Mathematics, 2017

    Sorbonne Université (Paris 6)

  • BSc in Applied Mathematics, 2016

    Sorbonne Université (Paris 1)

Some Recent Publications

Differential Privacy and Byzantine Resilience in SGD: Do They Add Up?
Mixed Nash Equilibria in the Adversarial Examples Game
SPEED: Secure, PrivatE,and Efficient Deep learning
Advocating for Multiple Defense Strategies against Adversarial Examples
Randomization matters. How to defend against strong adversarial attacks
Theoretical evidence for adversarial robustness through randomization
Graph-based Clustering under Differential Privacy


Université Paris Dauphine PSL

  • Lecturer in Trustworthy Machine Learning - MBa C.S (2019-2020)

  • Lecturer in Mathematics for Machine Learning - MSc C.S (2019-2020)

  • Teaching assistant in Introduction to Machine Learning - MSc C.S (2017-2020)

  • Teaching assistant in Introduction to Machine Learning - MBa B.I (2017-2020)

Sorbonne Université (Paris 1)

  • Teaching assistant in Calculus - BSc Mathematics (2017-2018)


Contact at EPFL

  • E-Mail address: {firstname}.{lastname}@epfl.ch
  • Postal address: Distributed Computing Lab, INR building, room 315

Contact at Dauphine University (may be deprecated)

  • E-Mail address: {firstname}.{lastname}@dauphine.fr