SPPNet: An Approach For Real-Time Encrypted Traffic Classification Using Deep Learning. - Fabien Meslet-Millet; Emmanuel Chaput; Sandrine Mouysset (GLOBECOM, 2021)

NeCSTGen: An approach for realistic network traffic generation using Deep Learning. - Fabien Meslet-Millet; Sandrine Mouysset; Emmanuel Chaput (GLOBECOM, 2022)

DCH: A Deep Learning Approach To Universal Header Compression For The Internet of Things. - Fabien Meslet-Millet; Sandrine Mouysset; Emmanuel Chaput (MSWiM, 2023)

Apprentissage profond pour le trafic réseau: classification, génération et compression. (Deep learning for network traffic: classification, generation and compression). - Fabien Meslet-Millet (2023)