I am a member of several “PEPR Cybersécurité” projects:
I am the Inria’s PI (principal investigator) of the SecGen associate team with CISPA. This project is dedicated to synthetic data generation for intrusion detection systems. I am also a member of the DeceptIA associate team with DFKI and Osaka Metropolitan University.
I am currently co-supervising 4 PhD students:
Alumni PhD:
I was also involved in various PhD: Malcolm Bourdon (defended in 2021), Aliénor Damien (defended in 2020) and Jonathan Roux (defended in 2020).
I co-organized the ANUBIS workshop at ESORICS25 on the evaluation of intrusion detection systems.
I am a part-time professor at CentraleSupélec. You can find more details about my teaching here.
I was a member of the working group that lead to the ANSSI publication Building trust in AI through a cyber risk-based approach.
I occasionally serve as an expert for ANR (Agence Nationale de la Recherche), ANRT (Association Nationale de la Recherche et de la Technologie) and PTCC (Programme de Transfert au Campus Cyber).
I am also a member of the Technical Committee of the PTCC.
Sebastian Killian, et al.. CasinoLimit: An Offensive Dataset Labeled with MITRE ATT&CK Techniques. The 28th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2025)
Garcia, R., Lahmadi, A., Gimenez, P. F. & Sala, C. ROSCA: Robust and Scalable Security Alert Correlation and Prioritisation using the MITRE ATT&CK Framework. First International Workshop on Analytics, Telemetry, and Cybersecurity for HPCC (High Performance Computing and Communications) (WATCH2025)
Quetel, G., Alata, A., Gimenez, P. F., Pautet, L. & Robert, T., (2025). SuperviZ25-SQL: High-Quality Dataset to Empower Unsupervised SQL Injection Detection Systems. In the ESORICS 2025 International Workshops.
Gimenez, P. F., (2025). Synthetic Network Traffic Generation for Intrusion Detection Systems: a Systematic Literature Review. In the ESORICS 2025 International Workshops.
Alata, E. & Gimenez, P. F., (2025). A theory of injection-based vulnerabilities in formal grammars. In Theoretical Computer Science.
Gimenez, P. F., Sivaprasad, S. & Fritz, M., (2025 May). Certifiably robust malware detectors by design. In the 40th International Conference on ICT Systems Security and Privacy Protection (IFIPSEC25)
Alata, E. & Gimenez, P. F., (2025 May). Towards programming languages free of injection-based vulnerabilities by design. In the 11th Workshop on Language-theoretic Security and Applications (LangSec25).
Cornanguer, L. & Gimenez, P. F., (2025 May). TADAM: Learning Timed Automata From Noisy Observations. In the SIAM International Conference on Data Mining (SDM25).
Malcolm Murray, Henry Papadatos, Otter Quarks, Pierre-François Gimenez, Simeon Campos. Mapping AI Benchmark Data to Quantitative Risk Estimates Through Expert Elicitation.
Cüppers, J., Schoen, A., Blanc, G. & Gimenez, P. F., (2024, December). FlowChronicle: Synthetic Network Flow Generation through Pattern Set Mining Generation. In the 20th International Conference on emerging Networking EXperiments and Technologies (CoNEXT).
Gimenez, P. F., & Mengin, J. (2024). Learning Conditional Preference Networks: an Approach Based on the Minimum Description Length Principle. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI).
Schoen, A., Blanc, G., Gimenez, P. F., Han, Y., Majorczyk, F., & Mé, L. (2024). A Tale of Two Methods: Unveiling the limitations of GAN and the Rise of Bayesian Networks for Synthetic Network Traffic Generation. In Proceedings of the 9th International Workshop on Traffic Measurements for Cybersecurity (WTMC 2024).
Grégor Quétel, Eric Alata, Pierre-François Gimenez, Laurent Pautet, Thomas Robert. A Parser-Based Data Collector for Intrusion Detection. Rendez-Vous de la Recherche et de l'Enseignement de la Sécurité des Systèmes d'Information, May 2024, Eppe-Sauvage, France.
Dijoud, F., Gimenez, P. F., Hurfin, M., Majorczyk, F., & Pilastre, B. (2024, May). Survey on system-level graph-based and anomaly-based intrusion detection. In RESSI 2024-Rendez-Vous de la Recherche et de l'Enseignement de la Sécurité des Systèmes d'Information (pp. 1-2).
Maxime Lanvin, Pierre-François Gimenez, Yufei Han, Frédéric Majorczyk, Ludovic Mé, et al.. Towards Understanding Alerts raised by Unsupervised Network Intrusion Detection Systems. The 26th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2023)
Gimenez, Pierre-François & Mengin, Jérôme. (2023). Conditionally Acyclic CO-Networks for Efficient Preferential Optimization. 10.3233/FAIA230352.
Vincent Raulin, Pierre-François Gimenez, Yufei Han, Valérie Viet Triem Tong. BAGUETTE: Hunting for Evidence of Malicious Behavior in Dynamic Analysis Reports. 20th International conference on security and cryptography SECRYPT 2023, Jul 2023, Rome, Italy.
Lanvin, M., Gimenez, P. F., Han, Y., Majorczyk, F., Mé, L., & Totel, E. (2022, December). Errors in the CICIDS2017 dataset and the significant differences in detection performances it makes. In CRiSIS 2022-International Conference on Risks and Security of Internet and Systems.
Fabien Charmet, Harry Chandra Tanuwidjaja, Solayman Ayoubi, Pierre-François Gimenez, Yufei Han, Houda Jmila, Gregory Blanc, Takeshi Takahashi & Zonghua Zhang. Explainable artificial intelligence for cybersecurity: a literature survey. Ann. Telecommun. (2022).
Fargier, H., Gimenez, P. F., Mengin, J., & Le Nguyen, B. N. (2022, July). The complexity of unsupervised learning of lexicographic preferences. In 13th Multidisciplinary Workshop on Advances in Preference Handling (M-pref 2022)@ IJCAI 2022
Miranda, T. C., Gimenez, P. F., Lalande, J. F., Tong, V. V. T., & Wilke, P. (2022). Debiasing Android Malware Datasets: How can I trust your results if your dataset is biased?. IEEE Transactions on Information Forensics and Security.
Raulin, V., Gimenez, P. F., Han, Y., & Tong, V. V. T. (2022). Towards a Representation of Malware Execution Traces for Experts and Machine Learning. RESSI 2022-Rendez-Vous de la Recherche et de l'Enseignement de la Sécurité des Systèmes d'Information.
Lanvin, M., Gimenez, P. F., Han, Y., Majorczyk, F., Mé, L., & Totel, É. (2022, May). Detecting APT through graph anomaly detection. In RESSI 2022-Rendez-Vous de la Recherche et de l'Enseignement de la Sécurité des Systèmes d'Information.
Schoen, A., Blanc, G., Gimenez, P. F., Han, Y., Majorczyk, F., & Mé, L. (2022, May). Towards generic quality assessment of synthetic traffic for evaluating intrusion detection systems. In RESSI 2022-Rendez-Vous de la Recherche et de l'Enseignement de la Sécurité des Systèmes d'Information.
Raulin, V., Gimenez, P. F., Han, Y., Viet Triem Tong, V., Ouairy, L. (2021). GUI-Mimic, a cross-platform recorder and fuzzer of Graphical User Interface. 9th GreHack Conference
Gimenez, P. F., Roux, J., Alata, E., Auriol, G., Kaâniche, M., & Nicomette, V. (2021). RIDS: Radio intrusion detection and diagnosis system for wireless communications in smart environment. ACM Transactions on Cyber-Physical Systems, 5(3), 1-1.
Bourdon, M., Gimenez, P. F., Alata, E., Kaaniche, M., Migliore, V., Nicomette, V., & Laarouchi, Y. (2020, November). Hardware-Performance-Counters-based anomaly detection in massively deployed smart industrial devices. In 2020 IEEE 19th International Symposium on Network Computing and Applications (NCA) (pp. 1-8). IEEE.
Damien, A., Gimenez, P. F., Feyt, N., Nicomette, V., Kaâniche, M., & Alata, E. (2020, October). On-board Diagnosis: A First Step from Detection to Prevention of Intrusions on Avionics Applications. In 2020 IEEE 31st International Symposium on Software Reliability Engineering (ISSRE) (pp. 358-368). IEEE.
H Fargier, PF Gimenez, J Mengin - Journal of Universal Computer Science, 2020
Pierre-François Gimenez. Apprentissage de préférences en espace combinatoire et application à la recommandation en configuration interactive. Intelligence artificielle [cs.AI]. Université Paul Sabatier - Toulouse III, 2018. Français. ⟨NNT : 2018TOU30182⟩. ⟨tel-02303275⟩
Fargier, H., Gimenez, P. F., & Mengin, J. (2018, April). Learning lexicographic preference trees from positive examples. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 32, No. 1).
Fargier, H., Gimenez, P. F., & Mengin, J. (2016, September). Recommendation for product configuration: an experimental evaluation. In 18th International Configuration Workshop (CWS 2016) within CP 2016: 22nd International Conference on Principles and Practice of Constraint Programming (pp. pp-9).