Maxime Lecomte

dblp:168/7915 · DBLP profile ↗
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8ranked-venue papers
2as first author
5since 2021 · last 2025
0000-0002-9985-7586ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 5 · 4 since 2021Systems, architecture and hardware · 3 · 2 first-author · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 first-author
YearPublicationVenuePosition
2025 Secret and shared keys recovery on hamming quasi-cyclic with SASCA
Chloé Baïsse, Antoine Moran, Guillaume Goy, Julien Maillard, Nicolas Aragon, Philippe Gaborit, Maxime Lecomte, Antoine Loiseau
Des. Codes Cryptogr.7
2024 Cache Side-Channel Attacks Through Electromagnetic Emanations of DRAM Accesses
abstract
International audience
Julien Maillard, Thomas Hiscock, Maxime Lecomte, Christophe Clavier
SECRYPT3
2024 Simulating SASCA on Keccak: Security Implications for Post-Quantum Cryptographic Schemes
abstract
International audience
Julien Maillard, Thomas Hiscock, Maxime Lecomte, Christophe Clavier
SECRYPT3
2023 Revisiting Mutual Information Analysis: Multidimensionality, Neural Estimation and Optimality Proofs
Valence Cristiani, Maxime Lecomte, Philippe Maurine
J. Cryptol.2
2022 Towards Fine-grained Side-Channel Instruction Disassembly on a System-on-Chip
abstract
Side-channel based instruction disassembly (SCBD) is a family of side-channel attacks that aims at recovering the code executed by a device from physical measurements. Over past decades researches have proved that instruction-level disassembly is feasible on simple controllers. Simultaneously, the computing power and architectural complexity of processors are increasing, even in constrained devices. Performing side-channel attacks on mid or high-end devices is inherently harder because of complex concurrent activities and an important amount of noise. While broad pattern identification, such as cryptographic primitives, has been proved possible, the feasibility of precise SCBD remains an open question on a complex System-on-Chip (SoC). In this work, we address some of the technical challenges involved in performing SCBD on SoCs. We propose an experimental setup and measurement methodology that enables reliable characterization of instruction-level electromagnetic (EM) leakages. We study the feasibility of three code reconstruction granularities: functional unit recognition, opcode recognition and full instruction recovery. Under a controlled experimental environment, our results show that functional unit recognition is achievable (100% classification accuracy) as well as opcode recognition (with evidence of leakage). In our setup, full instruction recovery (i.e., bit-level encoding) turned out to be more challenging. We show that the classification accuracy on instruction bits is better than random guesses and can be improved by combining multiple EM probe positions, but it is not high enough to foresee an attack in a real environment.
Julien Maillard, Thomas Hiscock, Maxime Lecomte, Christophe Clavier
DSD3
2019 A Bit-Level Approach to Side Channel Based Disassembling
Valence Cristiani, Maxime Lecomte, Thomas Hiscock
CARDIS2
2017 An On-Chip Technique to Detect Hardware Trojans and Assist Counterfeit Identification
abstract
International audience
Maxime Lecomte, Jacques J. A. Fournier, Philippe Maurine
IEEE Trans. Very Large Scale Integr. Syst.1
2016 On-chip fingerprinting of IC topology for integrity verification
Maxime Lecomte, Jacques J. A. Fournier, Philippe Maurine
DATE1