Franco Terranova
- Université de Lorraine (UL)
- Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA)
- Institut National de Recherche en Informatique et en Automatique (Inria)
Présentation
Hello! I’m Franco Terranova, currently a Ph.D. Student focusing on Deep Reinforcement Learning for Cyber-Attack Paths Discovery at the Université de Lorraine/LORIA.
I have a Master’s Degree in Artificial Intelligence and Data Engineering, and a Bachelor’s Degree in Computer Engineering from the University of Pisa.
I have previously interned for the European Space Agency (ESA) and the Fermi National Accelerator Laboratory (Fermilab) in several projects related to Deep Learning & Reinforcement Learning.
Domaines de recherche
Compétences
Publications
Publications
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Multi-Taxonomy Vulnerability Classification with Hierarchically Finetuned Language ModelsTo appear at DIMVA 2026 - Conference on Detection of Intrusions and Malware and Vulnerability Assessment, Jul 2026, Chania, Crete, Greece |
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Scalable and Generalizable RL Agents for Attack Path Discovery via Continuous Invariant Spaces2025 28th International Symposium on Research in Attacks, Intrusions and Defenses (RAID), Oct 2025, Gold Coast, Australia. pp.440-457, ⟨10.1109/RAID67961.2025.00029⟩ |
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Leveraging Deep Reinforcement Learning for Cyber-Attack Paths Prediction: Formulation, Generalization, and EvaluationThe 27th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2024), Sep 2024, Padua, Italy. pp.1-16, ⟨10.1145/3678890.3678902⟩ |
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Deep Reinforcement Learning for Automated Cyber-Attack Path Prediction in Communication NetworksGeilo Winter School 2024 - Graphs and Applications, Jan 2024, Geilo, Norway |