Effective Hasse principle for the intersection of two quadrics. - Tony Quertier (LMS J. Comput. Math., 2016)

Differentially Private Instance-Based Noise Mechanisms in Practice. - Sébastien Canard; Baptiste Olivier; Tony Quertier (PST, 2017)

Towards an in-depth understanding of privacy parameters for randomized sanitization mechanisms. - Baptiste Olivier; Tony Quertier (IACR Cryptol. ePrint Arch., 2017)

Confidence Curve for Continuous Authentication. - Tony Quertier (CSS, 2018)

Privacy of trajectory micro-data : a survey. - Marco Fiore 001; Panagiota Katsikouli; Elli Zavou; Mathieu Cunche; Françoise Fessant; Dominique Le Hello; Ulrich Matchi Aïvodji; Baptiste Olivier; Tony Quertier; Razvan Stanica (CoRR, 2019)

Privacy in trajectory micro-data publishing: a survey. - Marco Fiore 001; Panagiota Katsikouli; Elli Zavou; Mathieu Cunche; Françoise Fessant; Dominique Le Hello; Ulrich Matchi Aïvodji; Baptiste Olivier; Tony Quertier; Razvan Stanica (Trans. Data Priv., 2020)

Malware Analysis with Artificial Intelligence and a Particular Attention on Results Interpretability. - Benjamin Marais; Tony Quertier; Christophe Chesneau (DCAI (1), 2021)

MERLIN - Malware Evasion with Reinforcement LearnINg. - Tony Quertier; Benjamin Marais; Stephane Morucci; Bertrand Fournel (CoRR, 2022)

Malware and Ransomware Detection Models. - Benjamin Marais; Tony Quertier; Stéphane Morucci (CoRR, 2022)

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)