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Thibault Debatty
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2020 – today
- 2023
- [j2]Islam Debicha
, Benjamin Cochez
Adv-Bot: Realistic adversarial botnet attacks against network intrusion detection systems. Comput. Secur. 129: 103176 (2023) - [j1]Islam Debicha
TAD: Transfer learning-based multi-adversarial detection of evasion attacks against network intrusion detection systems. Future Gener. Comput. Syst. 138: 185-197 (2023) - [i7]Islam Debicha, Benjamin Cochez, Tayeb Kenaza, Thibault Debatty, Jean-Michel Dricot, Wim Mees:
Adv-Bot: Realistic Adversarial Botnet Attacks against Network Intrusion Detection Systems. CoRR abs/2303.06664 (2023) - [i6]Islam Debicha, Benjamin Cochez, Tayeb Kenaza, Thibault Debatty, Jean-Michel Dricot, Wim Mees:
Review on the Feasibility of Adversarial Evasion Attacks and Defenses for Network Intrusion Detection Systems. CoRR abs/2303.07003 (2023) - 2022
- [c14]Charles Beumier, Thibault Debatty:
Attack Detection in SS7. MCSS 2022: 11-20 - [i5]Islam Debicha, Richard Bauwens, Thibault Debatty, Jean-Michel Dricot, Tayeb Kenaza, Wim Mees:
TAD: Transfer Learning-based Multi-Adversarial Detection of Evasion Attacks against Network Intrusion Detection Systems. CoRR abs/2210.15700 (2022) - 2021
- [c13]Islam Debicha
Detect & Reject for Transferability of Black-Box Adversarial Attacks Against Network Intrusion Detection Systems. ACeS 2021: 329-339 - [i4]Islam Debicha
Efficient Intrusion Detection Using Evidence Theory. CoRR abs/2103.08585 (2021) - [i3]Islam Debicha
Adversarial Training for Deep Learning-based Intrusion Detection Systems. CoRR abs/2104.09852 (2021) - [i2]Islam Debicha, Thibault Debatty, Jean-Michel Dricot, Wim Mees, Tayeb Kenaza:
Detect & Reject for Transferability of Black-box Adversarial Attacks Against Network Intrusion Detection Systems. CoRR abs/2112.12095 (2021)
2010 – 2019
- 2019
- [c12]Alexandre Croix, Thibault Debatty, Wim Mees:
Training a multi-criteria decision system and application to the detection of PHP webshells. ICMCIS 2019: 1-8 - [c11]Thibault Debatty, Wim Mees:
Building a Cyber Range for training CyberDefense Situation Awareness. ICMCIS 2019: 1-6 - 2018
- [c10]Thibault Debatty, Wim Mees, Thomas Gilon:
Graph-based APT detection. ICMCIS 2018: 1-8 - [c9]Salvador Llopis, Javier Hingant
A comparative analysis of visualisation techniques to achieve cyber situational awareness in the military. ICMCIS 2018: 1-7 - 2016
- [c8]Thibault Debatty, Fabio Pulvirenti, Pietro Michiardi, Wim Mees:
Fast distributed k-nn graph update. IEEE BigData 2016: 3308-3317 - [i1]Thibault Debatty, Pietro Michiardi, Wim Mees:
Fast Online k-nn Graph Building. CoRR abs/1602.06819 (2016) - 2015
- [c7]Alessandro Lulli, Thibault Debatty, Matteo Dell'Amico
Scalable k-NN based text clustering. IEEE BigData 2015: 958-963 - [c6]Wim Mees, Thibault Debatty:
An attempt at defining cyberdefense situation awareness in the context of command & control. ICMCIS 2015: 1-9 - 2014
- [c5]Thibault Debatty, Pietro Michiardi, Olivier Thonnard, Wim Mees:
Building k-nn graphs from large text data. IEEE BigData 2014: 573-578 - [c4]Thibault Debatty, Pietro Michiardi, Wim Mees, Olivier Thonnard:
Determining the k in k-means with MapReduce. EDBT/ICDT Workshops 2014: 19-28 - [c3]Wim Mees, Thibault Debatty:
Multi-agent System for APT Detection. ISSRE Workshops 2014: 401-406 - [c2]Thibault Debatty, Pietro Michiardi, Olivier Thonnard, Wim Mees:
Scalable Graph Building from Text Data. BigMine 2014: 120-132 - 2010
- [c1]Thibault Debatty:
Software defined RADAR a state of the art. CIP 2010: 253-257
Coauthor Index
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