Research interests

My research focuses on the following subjects.

• Adversarial examples (theoretical understanding, efficient generation and detection methods)
• Understanding neural network (generalization, optimization, robustness)
• Structured prediction (determinantal point processes, etc.)
• Sampling

These days, I also have an interest in privacy and fairness in machine learning.

Publications

Checkout my list of publications here on Google scholar.

Supervision roles

Internships

• Meyer Scetbon: Doctoral internship on “Understanding adversarial training”; in July – November 2022
• Morgane Goibert: End of M.Sc. internship on “Label-smoothing for better adversarial robustness”; January – July 2019

PhD students

• Morgane Goibert: Robust Ranking (co-supervised with Stéphan Clémançon); 2019 – present