Learning Lexicographic Preference Trees From Positive Examples. - Hélène Fargier; Pierre-François Gimenez; Jérôme Mengin (AAAI, 2018)

Recommandation par inférence bayésienne. Application à la configuration de produit. - Hélène Fargier; Pierre-François Gimenez; Jérôme Mengin (Rev. d'Intelligence Artif., 2018)

Apprentissage de préférences en espace combinatoire et application à la recommandation en configuration interactive. (Preferences learning in combinatorial spaces and application to recommandation in interactive configuration). - Pierre-François Gimenez (2018)

On-board Diagnosis: A First Step from Detection to Prevention of Intrusions on Avionics Applications. - Aliénor Damien; Pierre-François Gimenez; Nathalie Feyt; Vincent Nicomette; Mohamed Kaâniche; Eric Alata (ISSRE, 2020)

Hardware-Performance-Counters-based anomaly detection in massively deployed smart industrial devices. - Malcolm Bourdon; Pierre-François Gimenez; Eric Alata; Mohamed Kaâniche; Vincent Migliore; Vincent Nicomette; Youssef Laarouchi (NCA, 2020)

Experimental Evaluation of Three Value Recommendation Methods in Interactive Configuration. - Hélène Fargier; Pierre-François Gimenez; Jérôme Mengin (J. Univers. Comput. Sci., 2020)

RIDS: Radio Intrusion Detection and Diagnosis System for Wireless Communications in Smart Environment. - Pierre-François Gimenez; Jonathan Roux; Eric Alata; Guillaume Auriol; Mohamed Kaâniche; Vincent Nicomette (ACM Trans. Cyber Phys. Syst., 2021)

Errors in the CICIDS2017 Dataset and the Significant Differences in Detection Performances It Makes. - Maxime Lanvin; Pierre-François Gimenez; Yufei Han 001; Frédéric Majorczyk; Ludovic Mé; Eric Totel (CRiSIS, 2022)

Explainable artificial intelligence for cybersecurity: a literature survey. - Fabien Charmet; Harry Chandra Tanuwidjaja; Solayman Ayoubi; Pierre-François Gimenez; Yufei Han 001; Houda Jmila; Gregory Blanc; Takeshi Takahashi 001; Zonghua Zhang (Ann. des Télécommunications, 2022)

The complexity of unsupervised learning of lexicographic preferences. - Hélène Fargier; Pierre-François Gimenez; Jérôme Mengin; Bao Ngoc Le Nguyen (CoRR, 2022)

Debiasing Android Malware Datasets: How Can I Trust Your Results If Your Dataset Is Biased? - Tomás Concepción Miranda; Pierre-François Gimenez; Jean-François Lalande; Valérie Viet Triem Tong; Pierre Wilke (IEEE Trans. Inf. Forensics Secur., 2022)

Dada: Debiased Android DAtasets. - Tomás Concepción Miranda; Pierre-François Gimenez; Jean-François Lalande; Valérie Viet Triem Tong; Pierre Wilke (IEEE DataPort, 2022)

Conditionally Acyclic CO-Networks for Efficient Preferential Optimization. - Pierre-François Gimenez; Jérôme Mengin (ECAI, 2023)

Towards Understanding Alerts raised by Unsupervised Network Intrusion Detection Systems. - Maxime Lanvin; Pierre-François Gimenez; Yufei Han 001; Frédéric Majorczyk; Ludovic Mé; Eric Totel (RAID, 2023)

BAGUETTE: Hunting for Evidence of Malicious Behavior in Dynamic Analysis Reports. - Vincent Raulin; Pierre-François Gimenez; Yufei Han 001; Valérie Viet Triem Tong (SECRYPT, 2023)

A Tale of Two Methods: Unveiling the Limitations of GAN and the Rise of Bayesian Networks for Synthetic Network Traffic Generation. - Adrien Schoen; Gregory Blanc; Pierre-François Gimenez; Yufei Han 001; Frédéric Majorczyk; Ludovic Mé (EuroS&P Workshops, 2024)

Learning Conditional Preference Networks: An Approach Based on the Minimum Description Length Principle. - Pierre-François Gimenez; Jérôme Mengin (IJCAI, 2024)

FlowChronicle: Synthetic Network Flow Generation through Pattern Set Mining. - Joscha Cüppers; Adrien Schoen; Gregory Blanc; Pierre-François Gimenez (PACMNET, 2024)

TADAM: Learning Timed Automata from Noisy Observations. - Lénaïg Cornanguer; Pierre-François Gimenez (SDM, 2025)

Certifiably Robust Malware Detectors by Design. - Pierre-François Gimenez; Sarath Sivaprasad; Mario Fritz (SEC (2), 2025)

Towards Programming Languages Free of Injection-Based Vulnerabilities by Design. - Eric Alata; Pierre-François Gimenez (SP (Workshops), 2025)

Mapping AI Benchmark Data to Quantitative Risk Estimates Through Expert Elicitation. - Malcolm Murray; Henry Papadatos; Otter Quarks; Pierre-François Gimenez; Siméon Campos (CoRR, 2025)