Lorenzo Guerra
PhD Student in ML for Security
I'm a PhD Candidate at Télécom Paris (Institut Polytechnique de Paris), conducting my research in partnership with Ampere (Renault Group) through a CIFRE fellowship. My work focuses on self-supervised and graph-based learning for intrusion detection in critical distributed real-time systems, including software-defined vehicles.
I am particularly interested in model design for robust, deployable intrusion detection systems, with evaluation and online adaptation after detection as complementary directions. I'm also a retired CTF player and a former national finalist in CyberChallenge.IT.
Research Focus
Publications
Self-Supervised Learning of Graph Representations for Network Intrusion Detection
Advances in Neural Information Processing Systems 38 (NeurIPS), 2025