Lorenzo Guerra
PhD Researcher in Machine Learning for Cybersecurity
I'm a PhD candidate at Télécom Paris (Institut Polytechnique de Paris), working with Renault Group as part of the CIFRE programme. My research focuses on machine learning for intrusion detection across network, host, and in-vehicle data, including self-supervised methods and graph neural networks. I also study how intrusion detection systems are evaluated.
I'm also a retired CTF player and represented the University of Bologna at the CyberChallenge.IT national finals.
Publications
How Benchmarks and Evaluation Protocols Shape Conclusions in Provenance-Based Intrusion Detection
Network and Distributed System Security Symposium (NDSS), 2027
Self-Supervised Learning of Graph Representations for Network Intrusion Detection
Advances in Neural Information Processing Systems 38 (NeurIPS), 2025