Quantum Machine Learning for Malware Classification. - Grégoire Barrué; Tony Quertier (PKDD/ECML Workshops (5), 2023)

Towards an in-depth detection of malware using distributed QCNN. - Tony Quertier; Grégoire Barrué (CoRR, 2023)

Towards an In-Depth Detection of Malware Using Multi-QCNN. - Tony Quertier; Grégoire Barrué (ICCS (6), 2024)

Use of Multi-CNNs for Section Analysis in Static Malware Detection. - Tony Quertier; Grégoire Barrué (CoRR, 2024)

Layered Uploading for Quantum Convolutional Neural Networks. - Grégoire Barrué; Tony Quertier (CoRR, 2024)

A Lean Transformer Model for Dynamic Malware Analysis and Detection. - Tony Quertier; Benjamin Marais; Grégoire Barrué; Stéphane Morucci; Sévan Azé; Sébastien Salladin (CoRR, 2024)

Benchmarking data encoding methods in Quantum Machine Learning. - Orlane Zang; Grégoire Barrué; Tony Quertier (CoRR, 2025)

Semantic Preprocessing for LLM-based Malware Analysis. - Benjamin Marais; Tony Quertier; Grégoire Barrué (CoRR, 2025)

Layered uploading for quantum convolutional neural networks. - Grégoire Barrué; Tony Quertier; Orlane Zang (Quantum Mach. Intell., 2025)