LoicMasure / LoicMasure.github.io

Postdoc researcher in Side-Channel Analysis & Machine Learning

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Loïc Masure

I am a postdoc researcher (2021-2023) in the Crypto group of UCLouvain at Louvain-la-Neuve (Belgium). Before that, I was a PhD student (2017-2020) into the ITSEF of CEA - Leti, at Grenoble (France).

Research

My research work is mainly devoted to the study of machine learning for profiling attacks in side-channel analysis. You can find more on this in my thesis manuscript. I am also interested in hard learning problems, like LWE, and their potential link to profiling attacks against implementations protected with masking.

Publications

You can find an updated list on my DBLP profile and my Google Scholar profile.

Conference papers (in chronological order):

  1. Gradient visualization for general characterization in profiling attacks [eprint], COSADE 2019, with Cécile Dumas and Emmanuel Prouff
  2. Deep learning side-channel analysis on large-scale traces [eprint], ESORICS 2020, with Nicolas Belleville, Eleonora Cagli, Marie-Angela Cornelie, Damien Couroussé, Cécile Dumas and Laurent Maingault
  3. A Nearly Tight Proof of Duc et al.'s Conjectured Security Bound for Masked Implementations [eprint], with Olivier Rioul and François-Xavier Standaert
  4. Removing the Field Size Loss from Duc et al.'s Conjectured Bound for Masked Encodings, COSADE 2023, with Julien Béguinot, Wei Cheng, Sylvain Guilley, Yi Liu, Olivier Rioul and François-Xavier Standaert
  5. Effective and Efficient Masking with Low Noise using Small-Mersenne-Prime Ciphers, EUROCRYPT 2023, with Pierrick Méaux, Thorben Moos and François-Xavier Standaert
  6. Improved Alpha-Information Bounds for Higher-Order Masked Cryptographic Implementations, ITW 2023, with Yi Liu, Julien Béguinot, Wei Cheng, Sylvain Guilley, Olivier Rioul and François-Xavier Standaert
  7. Prouff & Rivain’s Formal Security Proof of Masking, Revisited: Tight Bounds in the Noisy Leakage Model, CRYPTO 2023, with François-Xavier Standaert

Journal papers:

  1. A comprehensive study of deep learning for side-channel analysis, TCHES 2020, with Cécile Dumas and Emmanuel Prouff
  2. Efficient profiled side-channel analysis of masked implementations, extended [preprint], TIFS, with Olivier Bronchain, François Durvaux and François-Xavier Standaert
  3. Don’t Learn What You Already Know: Grey-Box Modeling for Profiling Side-Channel Analysis against Masking, TCHES 2023, with Valence Cristiani, Maxime lecomte and François-Xavier Standaert
  4. Prime-Field Masking in Hardware and its Soundness against Low-Noise SCA Attacks, TCHES 2023, with Gaëtan Cassiers, Charles Momin, Thorben Moos and François-Xavier Standaert
  5. Side Channel Analysis against the ANSSI’s protected AES implementation on ARM [eprint], with Rémi Strullu
  6. Information Bounds and Convergence Rates for Side-Channel Security Evaluators, TCHES 2023, with Gaëtan Cassiers, Julien Hendrickx and François-Xavier Standaert

Some Talks

Teaching

About

Postdoc researcher in Side-Channel Analysis & Machine Learning