Lorenzo Guerra
PhD Student in AI & Cybersecurity
Paris, France
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 securing Software-Defined Vehicles by applying deep learning and graph neural networks to detect anomalies and intrusions. I am also a retired CTF player and a national finalist in CyberChallenge.IT.
Research Areas
Experience & Education
PhD Student
Mar 2024 - PresentPhD on Artificial Intelligence and Cybersecurity. Research focus: Intrusion Detection for Software-Defined Vehicles using Machine Learning-based Normal Behavior Modeling.
Research Intern
June 2023 - Dec 2023Researching AI powered Intrusion Detection Systems for Automotive Applications. Analysis of CAN security and applied state-of-the-art ML models on intrusion detection datasets.
Erasmus Exchange Student
Sep 2022 - May 2023Exchange program focused on machine learning and networking topics.
National Finalist with University of Bologna's Team
Jan 2022 - Jul 2022Participated in a national educational program focused on providing students with practical experience in cybersecurity through Capture the Flag (CTF) challenges. Selected as one of the top 20 applicants for an intensive six-month training in Bologna, after which I placed second in the local competition and joined the university's six-member team for the national finals. Improved skills in software exploitation, security engineering, reverse engineering and applied cryptography.
Master's Degree in Computer Engineering
Sep 2021 - Feb 2024Specialized in cybersecurity and software engineering with focus on automotive applications and machine learning.
Bachelor's Degree in Computer Engineering
Sep 2018 - Oct 2021Foundation in computer engineering with early focus on cybersecurity and system administration.
Publications
Self-Supervised Learning of Graph Representations for Network Intrusion Detection
Accepted at the 39th Conference on Neural Information Processing Systems (NeurIPS), 2025
AI-Driven Intrusion Detection Systems (IDS) on the ROAD Dataset: A Comparative Analysis for Automotive Controller Area Network (CAN)
1st Cyber Security in Cars Workshop (CSCS) at the 31st ACM Conference on Computer and Communications Security (CCS), 2024