Federated Learning as Enabler for Collaborative Security between not Fully-Trusting Distributed Parties. - Léo Lavaur; Benjamin Coste; Marc-Oliver Pahl; Yann Busnel; Fabien Autrel (C&ESAR, 2022)

The Evolution of Federated Learning-Based Intrusion Detection and Mitigation: A Survey. - Léo Lavaur; Marc-Oliver Pahl; Yann Busnel; Fabien Autrel (IEEE Trans. Netw. Serv. Manag., 2022)

Systematic Analysis of Label-flipping Attacks against Federated Learning in Collaborative Intrusion Detection Systems. - Léo Lavaur; Yann Busnel; Fabien Autrel (ARES, 2024)

Tutorial: Federated Learning × Security for Network Monitoring. - Yann Busnel; Léo Lavaur (ICDCSW, 2024)

Demo: Highlighting the Limits of Federated Learning in Intrusion Detection. - Léo Lavaur; Yann Busnel; Fabien Autrel (ICDCS, 2024)

RADAR: Model Quality Assessment for Reputation-aware Collaborative Federated Learning. - Léo Lavaur; Pierre-Marie Lechevalier; Yann Busnel; Romaric Ludinard; Marc-Oliver Pahl; Géraldine Texier (SRDS, 2024)

Improving intrusion detection in distributed systems with federated learning. (Améliorer la détection d'intrusions dans les systèmes répartis grâce à l'apprentissage fédéré). - Léo Lavaur (2024)

Investigating the Impact of Label-flipping Attacks against Federated Learning for Collaborative Intrusion Detection. - Léo Lavaur; Yann Busnel; Fabien Autrel (Comput. Secur., 2025)