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20212025
most citedMERLIN -- Malware Evasion with Reinforcement LearnINg

8 citations · 13 across the 8 of their papers we have counts for

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8 papers · 1 filter

cs.CR2025

Semantic Preprocessing for LLM-based Malware Analysis

Benjamin Marais, Tony Quertier, Grégoire Barrue

In a context of malware analysis, numerous approaches rely on Artificial Intelligence to handle a large volume of data. However, these techniques focus on data view (images, sequen…

cs.CR2024★ 1 cited

A Lean Transformer Model for Dynamic Malware Analysis and Detection

Tony Quertier, Benjamin Marais, Grégoire Barrué +3

Malware is a fast-growing threat to the modern computing world and existing lines of defense are not efficient enough to address this issue. This is mainly due to the fact that man…

cs.CR2024

Use of Multi-CNNs for Section Analysis in Static Malware Detection

Tony Quertier, Grégoire Barrué

Existing research on malware detection focuses almost exclusively on the detection rate. However, in some cases, it is also important to understand the results of our algorithm, or…

cs.CR2023

Towards an in-depth detection of malware using distributed QCNN

Tony Quertier, Grégoire Barrué

Malware detection is an important topic of current cybersecurity, and Machine Learning appears to be one of the main considered solutions even if certain problems to generalize to…

cs.CR2023★ 2 cited

Quantum Machine Learning for Malware Classification

Grégoire Barrué, Tony Quertier

In a context of malicious software detection, machine learning (ML) is widely used to generalize to new malware. However, it has been demonstrated that ML models can be fooled or m…

cs.CR2022★ 2 cited

AI-based Malware and Ransomware Detection Models

Benjamin Marais, Tony Quertier, Stéphane Morucci

Cybercrime is one of the major digital threats of this century. In particular, ransomware attacks have significantly increased, resulting in global damage costs of tens of billion…

cs.CR2022★ 8 cited

MERLIN -- Malware Evasion with Reinforcement LearnINg

Tony Quertier, Benjamin Marais, Stéphane Morucci +1

In addition to signature-based and heuristics-based detection techniques, machine learning (ML) is widely used to generalize to new, never-before-seen malicious software (malware).…

cs.CR2021

Malware Analysis with Artificial Intelligence and a Particular Attention on Results Interpretability

Benjamin Marais, Tony Quertier, Christophe Chesneau

Malware detection and analysis are active research subjects in cybersecurity over the last years. Indeed, the development of obfuscation techniques, as packing, for example, requir…