About

I'm a post-doc researcher in cryptography at CryptoExperts. From 2021-2025, I was a Security Analyst at Thales ITSEF, a security evaluation laboratory which tests the security of embedded devices. Previously, I've been a PhD student at University of Lyon (2018-2021) and an IHEDN Young Auditor (2025). This page regroups only my academic & research activities that are publicly available.

My current work involves many aspects of practical cryptography and its applications on embedded devices. I have a particular research interest for side-channel attacks, the application of machine-learning techniques to enhance physical attacks as well as the use of physical attacks to enhance the security of embedded deep neural networks.

News

• 2026-02: Our paper « From Linear Regression to Generative Model for Explainable Non Profiled Side-Channel Attacks » is now available on ePrint. This paper introduces NPcVAE-OSM, a fully interpretable and explainable generative deep learning model for generic non-profiled side-channel attacks, allowing secret key recovery without any prior assumption on the leakage model.

• 2025-12: Benoit Coqueret (PhD student) has defended his PhD entitled « On the complementarity of Software and Side Channel Attacks against Deep Learning Algorithms » on December, 17th.

• 2025-10: Sana Boussam (PhD student) releases her third paper « Generic-compatible distinguishers for linear regression based attacks ». This paper highlights the limitation of the current distinguishers for Linear-Regression based Attack (LRA) in a full basis context. She thus proposes two new distinguishers that are proved to be sound in such context.