About

I am a postdoctoral researcher in cryptography at CryptoExperts. From 2021 to 2025, I worked as a Security Analyst at Thales ITSEF, a security evaluation laboratory specializing in the assessment of embedded device security. Prior to that, I completed my PhD at the University of Lyon (2018–2021) and have been promoted as a Young Auditor (2025) of the IHEDN. This website focuses exclusively on my publicly available academic and research activities.

My research spans several aspects of practical cryptography and its applications to embedded systems. I am particularly interested in side-channel analysis, the use of machine learning techniques to improve physical attacks, and the exploitation of physical attacks to strengthen the security of embedded deep neural networks. More recently, I have expanded my research interests toward the defensive side of side-channel security, with a particular focus on masking countermeasures and their formal security proofs.

News

• 2026-06: Sana Boussam (PhD Student) has had her first single-author paper accepted at Crypto 2026 !! Interested readers can access the paper here.

• 2026-04: Our paper « A Divide-and-Conquer Strategy for Hard-Label Extraction of Deep Neural Networks via Side-Channel Attacks » has been accepted at CHES 2026 !!

• 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.