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ORCIDPierre-François Gimenez
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2020 – today
- 2024
[c9]Adrien Schoen, Gregory Blanc, Pierre-François Gimenez, Yufei Han, Frédéric Majorczyk, Ludovic Mé:
A Tale of Two Methods: Unveiling the Limitations of GAN and the Rise of Bayesian Networks for Synthetic Network Traffic Generation. EuroS&P Workshops 2024: 273-286- [c8]Pierre-François Gimenez, Jérôme Mengin:
Learning Conditional Preference Networks: An Approach Based on the Minimum Description Length Principle. IJCAI 2024: 3395-3403 - 2023
- [c7]Pierre-François Gimenez, Jérôme Mengin:
Conditionally Acyclic CO-Networks for Efficient Preferential Optimization. ECAI 2023: 843-850 - [c6]Maxime Lanvin
, Pierre-François Gimenez, Yufei Han, Frédéric Majorczyk, Ludovic Mé, Eric Totel:
Towards Understanding Alerts raised by Unsupervised Network Intrusion Detection Systems. RAID 2023: 135-150 - [c5]Vincent Raulin, Pierre-François Gimenez, Yufei Han, Valérie Viet Triem Tong:
BAGUETTE: Hunting for Evidence of Malicious Behavior in Dynamic Analysis Reports. SECRYPT 2023: 417-424 - 2022
- [j5]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. des Télécommunications 77(11-12): 789-812 (2022) - [j4]Tomás Concepción Miranda, Pierre-François Gimenez, Jean-François Lalande, Valérie Viet Triem Tong, Pierre Wilke:
Debiasing Android Malware Datasets: How Can I Trust Your Results If Your Dataset Is Biased? IEEE Trans. Inf. Forensics Secur. 17: 2182-2197 (2022) - [c4]Maxime Lanvin, Pierre-François Gimenez, Yufei Han, Frédéric Majorczyk, Ludovic Mé, Eric Totel:
Errors in the CICIDS2017 Dataset and the Significant Differences in Detection Performances It Makes. CRiSIS 2022: 18-33 - [d1]Tomás Concepción Miranda, Pierre-François Gimenez, Jean-François Lalande, Valérie Viet Triem Tong, Pierre Wilke:
Dada: Debiased Android DAtasets. IEEE DataPort, 2022
- [i1]Hélène Fargier, Pierre-François Gimenez, Jérôme Mengin, Bao Ngoc Le Nguyen:
The complexity of unsupervised learning of lexicographic preferences. CoRR abs/2209.11505 (2022) - 2021
- [j3]Pierre-François Gimenez, Jonathan Roux, Eric Alata, Guillaume Auriol, Mohamed Kaâniche, Vincent Nicomette:
RIDS: Radio Intrusion Detection and Diagnosis System for Wireless Communications in Smart Environment. ACM Trans. Cyber Phys. Syst. 5(3): 24:1 (2021) - 2020
- [j2]Hélène Fargier, Pierre-François Gimenez, Jérôme Mengin:
Experimental Evaluation of Three Value Recommendation Methods in Interactive Configuration. J. Univers. Comput. Sci. 26(3): 318-342 (2020) - [c3]Aliénor Damien, Pierre-François Gimenez, Nathalie Feyt, Vincent Nicomette, Mohamed Kaâniche, Eric Alata:
On-board Diagnosis: A First Step from Detection to Prevention of Intrusions on Avionics Applications. ISSRE 2020: 358-368 - [c2]Malcolm Bourdon, Pierre-François Gimenez, Eric Alata, Mohamed Kaâniche, Vincent Migliore, Vincent Nicomette, Youssef Laarouchi:
Hardware-Performance-Counters-based anomaly detection in massively deployed smart industrial devices. NCA 2020: 1-8
2010 – 2019
- 2018
- [b1]Pierre-François Gimenez:
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). Paul Sabatier University, Toulouse, France, 2018 - [j1]Hélène Fargier, Pierre-François Gimenez, Jérôme Mengin:
Recommandation par inférence bayésienne. Application à la configuration de produit. Rev. d'Intelligence Artif. 32(1): 39-74 (2018) - [c1]Hélène Fargier, Pierre-François Gimenez, Jérôme Mengin:
Learning Lexicographic Preference Trees From Positive Examples. AAAI 2018: 2959-2966
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