8 citations · 9 across the 3 of their papers we have counts for
5 papers · 1 filter
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…
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…
Optimized Deep Learning Models for Malware Detection under Concept Drift
William Maillet, Benjamin Marais
Despite the promising results of machine learning models in malicious files detection, they face the problem of concept drift due to their constant evolution. This leads to declini…
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).…
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…