4 papers
Benchmarking data encoding methods in Quantum Machine Learning
Orlane Zang, Grégoire Barrué, Tony Quertier
Data encoding plays a fundamental and distinctive role in Quantum Machine Learning (QML). While classical approaches process data directly as vectors, QML may require transforming…
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…
Layered Uploading for Quantum Convolutional Neural Networks
Grégoire Barrué, Tony Quertier, Orlane Zang
Continuing our analysis of quantum machine learning applied to our use-case of malware detection, we investigate the potential of quantum convolutional neural networks. More precis…
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…