Léo Lavaur (PhD Student)
As anyone at the chair, you can reach me at surname@thisdomain.
You can see my availability here.
- IMT Symposium: Léo Lavaur, “Federated Approaches to Defend Cyber-Attacks” - April 13, 2022
- Visiting the big crisis management exercise at the ENSIBS - February 10, 2022
- Léo LAVAUR’s intervention, Federated learning for defending Cyber-Attacks, in “La Méthode Scientifique” on France Culture - February 1, 2022
My research is centered on cybersecurity. Through my thesis, I study the applications of federation for detection and mitigation systems, with respect to the confidentiality of the data. After a thorough state-of-the-art, I work on implementing FL–based algorithms to detect and characterize attacks. I simultaneously work on the chair’s test bed, which will host realistic experiments to validate my hypothesis. Our long-term objective is to build a distributed and federated observatory for attack detection, characterization, and mitigation.
In: C&ESAR 2022 - 29th Computer & Electronics Security Application Rendezvous, pp. 1-16, Rennes, France, 2022.
In: IEEE Transactions on Network and Service Management, 2022.
The evolution of federated learning-based intrusion detection and mitigation: a survey Journal Article
In: IEEE Transactions on Network and Service Management, vol. 19, no. 3, pp. 2309–2332, 2022.
Federated Learning as enabler for Collaborative Security between not Fully-Trusting Distributed Parties Proceedings Article
In: C&ESAR 2022-29th Computer & Electronics Security Application Rendezvous, pp. 1–16, 2022.
Federated Security Approaches for IT and OT Proceedings Article
In: pp. 2, 2021.
Federated security approaches for IT and OT Proceedings Article
In: SSLR 2021-Journée thématique du GT sur la Sécurité des Systèmes, Logiciels et Réseaux, pp. 1–2, 2021.