Scholar
Francesco Marchiori
Google Scholar ID: mXbNNwgAAAAJ
PhD Student at University of Padova
Citations & Impact
Citations
157
H-index
7
i10-index
6
Publications
20
Co-authors
13
list available
Publications
Resume (English only)
Academic Achievements
- - Conference Papers:
- - LCN 2024: Can LLMs Understand Computer Networks? Towards a Virtual System Administrator
- - ESORICS 2024: RedactBuster: Entity Type Recognition from Redacted Documents
- - DIMVA 2024: FaultGuard: A Generative Approach to Resilient Fault Prediction in Smart Electrical Grids
- - CCS 2023: Your Battery Is a Blast! Safeguarding Against Counterfeit Batteries with Authentication
- - RAID 2023: Your Attack Is Too DUMB: Formalizing Attacker Scenarios for Adversarial Transferability
- - ARES 2023: STIXnet: A Novel and Modular Solution for Extracting All STIX Objects in CTI Reports
- - Journal Articles:
- - IEEE COMST 2024: Security Properties of CAN Authentication Protocols: A Survey and Comparative Analysis
- - Workshop Papers:
- - ACSW 2024: Crash Course: Can (Under Attack) Autonomous Driving Beat Human Drivers?
- - WiseML 2024: CANEDERLI: On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems
- - CyberHunt 2023: AGIR: Automating Cyber Threat Intelligence Reporting with Natural Language Generation
Research Experience
- - Teaching Assistant, 2022 — Present, University of Padova, Teaching activities for Cybersecurity Master's degree courses
- - Internship, 2022, Leonardo S.p.A., Development of a platform for entity and relation extraction between STIX objects in unstructured CTI reports for Master's thesis project
Education
- - Ph.D. in Brain, Mind and Computer Science, 2022 — Present, University of Padova, Supervisor: Prof. Mauro Conti, Research Topic: Toward Automotive Security, Compliance with ISO 21434 standard and UNECE R155/R156 regulations
- - M.Sc. in Cybersecurity, 2020 — 2022, University of Padova, Thesis: STIXnet, Entity and Relation Extraction from Unstructured Cyber Threat Intelligence Reports
- - B.Sc. in Information Engineering, 2017 — 2020, University of Padova, Thesis: Quantum Teleportation, Simulations and Execution on a Quantum Computer through IBM Quantum Experience
Background
- - Research Interests: Automotive Security, Machine Learning and Deep Learning applications, Adversarial Attacks, Cyber Threat Intelligence, Quantum Cryptography and Computing
- - Professional Field: Brain, Mind and Computer Science
- - About: Francesco is a PhD student in Brain, Mind and Computer Science (BMCS) at the University of Padova, with a Master's degree in Cybersecurity. He is part of the SPRITZ research group, supervised by Prof. Mauro Conti.
Miscellany
- - Personal Interests: Not provided
