Léo Lavaur

According to our database, Léo Lavaur authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Investigating the Impact of Label-flipping Attacks against Federated Learning for Collaborative Intrusion Detection.

Léo Lavaur, Yann Busnel, Fabien Autrel

Comput. Secur., 2025

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

PhD thesis, 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

Proceedings of the 43rd International Symposium on Reliable Distributed Systems, 2024

Demo: Highlighting the Limits of Federated Learning in Intrusion Detection.

Léo Lavaur, Yann Busnel, Fabien Autrel

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

Tutorial: Federated Learning × Security for Network Monitoring.

Yann Busnel, Léo Lavaur

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, ICDCS 2024, 2024

Systematic Analysis of Label-flipping Attacks against Federated Learning in Collaborative Intrusion Detection Systems.

Léo Lavaur, Yann Busnel, Fabien Autrel

Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024

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

Federated Learning as Enabler for Collaborative Security between not Fully-Trusting Distributed Parties.

Léo Lavaur, Benjamin Coste, Marc-Oliver Pahl, Yann Busnel, Fabien Autrel

Proceedings of the 29th Computer & Electronics Security Application Rendezvous co-located with the 7th European Cyber Week (ECW 2022), 2022