| Anomaly-based network intrusion detection using machine learning M Labonne Institut polytechnique de Paris, 2020 | 30 | 2020 |
| A cascade-structured meta-specialists approach for neural network-based intrusion detection M Labonne, A Olivereau, B Polvé, D Zeghlache 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC …, 2019 | 24 | 2019 |
| Unsupervised protocol-based intrusion detection for real-world networks M Labonne, A Olivereau, B Polvé, D Zeghlache 2020 International Conference on Computing, Networking and Communications …, 2020 | 13 | 2020 |
| Spam-t5: Benchmarking large language models for few-shot email spam detection M Labonne, S Moran arXiv preprint arXiv:2304.01238, 2023 | 8 | 2023 |
| WIP: Short-Term Flow-Based Bandwidth Forecasting using Machine Learning M Labonne, J López, C Poletti, JB Munier 2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and …, 2021 | 7 | 2021 |
| Predicting bandwidth utilization on network links using machine learning M Labonne, C Chatzinakis, A Olivereau 2020 European Conference on Networks and Communications (EuCNC), 242-247, 2020 | 7 | 2020 |
| Anomaly detection in vehicle-to-infrastructure communications M Russo, M Labonne, A Olivereau, M Rmayti 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), 1-6, 2018 | 6 | 2018 |
| Automatisation du processus d’entraînement d’un ensemble d’algorithmes de machine learning optimisés pour la détection d’intrusion M LABONNE, A OLIVEREAU, D ZEGHLACHE Cesar conference, Artificial Intelligence and Cybersecurity, 2018 | 4 | 2018 |
| Priority flow admission and routing in sdn: Exact and heuristic approaches J López, M Labonne, C Poletti, D Belabed 2020 IEEE 19th International Symposium on Network Computing and Applications …, 2020 | 3 | 2020 |
| Toward formal data set verification for building effective machine learning models J López, M Labonne, C Poletti arXiv preprint arXiv:2108.11220, 2021 | 1 | 2021 |
| An Unsupervised Method for Estimating Class Separability of Datasets with Application to LLMs Fine-Tuning N Ghalyan, K Gourgoulias, Y Satsangi, S Moran, M Labonne, J Sabelja arXiv preprint arXiv:2305.15016, 2023 | | 2023 |
| Dynamic Link Network Emulation and Validation of Execution Datasets E Petersen, J López, N Kushik, M Labonne, C Poletti, D Zeghlache International Conference on Evaluation of Novel Approaches to Software …, 2022 | | 2022 |
Alexis OlivereauCEAVerified email at cea.fr
