STIXnet: A Novel and Modular Solution for Extracting All STIX Objects in CTI Reports. - Francesco Marchiori; Mauro Conti; Nino Vincenzo Verde (ARES, 2023)

AGIR: Automating Cyber Threat Intelligence Reporting with Natural Language Generation. - Filippo Perrina; Francesco Marchiori; Mauro Conti; Nino Vincenzo Verde (IEEE Big Data, 2023)

Your Battery Is a Blast! Safeguarding Against Counterfeit Batteries with Authentication. - Francesco Marchiori; Mauro Conti (CCS, 2023)

Your Attack Is Too DUMB: Formalizing Attacker Scenarios for Adversarial Transferability. - Marco Alecci; Mauro Conti; Francesco Marchiori; Luca Martinelli; Luca Pajola (RAID, 2023)

GAN-CAN: A Novel Attack to Behavior-Based Driver Authentication Systems. - Emad Efatinasab; Francesco Marchiori; Denis Donadel; Alessandro Brighente; Mauro Conti (CoRR, 2023)

FaultGuard: A Generative Approach to Resilient Fault Prediction in Smart Electrical Grids. - Emad Efatinasab; Francesco Marchiori; Alessandro Brighente; Mirco Rampazzo; Mauro Conti (DIMVA, 2024)

RedactBuster: Entity Type Recognition from Redacted Documents. - Mirco Beltrame; Mauro Conti; Pierpaolo Guglielmin; Francesco Marchiori; Gabriele Orazi (ESORICS (2), 2024)

Work-in-Progress: Crash Course: Can (Under Attack) Autonomous Driving Beat Human Drivers? - Francesco Marchiori; Alessandro Brighente; Mauro Conti (EuroS&P Workshops, 2024)

CANEDERLI: On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems. - Francesco Marchiori; Mauro Conti (WiseML@WiSec, 2024)

Can LLMs Understand Computer Networks? Towards a Virtual System Administrator. - Denis Donadel; Francesco Marchiori; Luca Pajola; Mauro Conti (CoRR, 2024)

Leaky Batteries: A Novel Set of Side-Channel Attacks on Electric Vehicles. - Francesco Marchiori; Mauro Conti (ARES (1), 2025)

Profiling Electric Vehicles via Early Charging Voltage Patterns. - Francesco Marchiori; Denis Donadel; Alessandro Brighente; Mauro Conti (ARES (Workshops 1), 2025)

Leaving No Blind Spots: Toward Automotive Cybersecurity. - Francesco Marchiori; Mauro Conti (DSN-S, 2025)

ATTAQ: Adversarial Robustness of Quantum Machine Learning. - Francesco Marchiori; Mauro Conti (DSN-W, 2025)

DUMB and DUMBer: Is Adversarial Training Worth It in the Real World? - Francesco Marchiori; Marco Alecci; Luca Pajola; Mauro Conti (ESORICS (1), 2025)

Moshi Moshi? A Model Selection Hijacking Adversarial Attack. - Riccardo Petrucci; Luca Pajola; Francesco Marchiori; Luca Pasa; Mauro Conti (CoRR, 2025)

Can LLMs Classify CVEs? Investigating LLMs Capabilities in Computing CVSS Vectors. - Francesco Marchiori; Denis Donadel; Mauro Conti (CoRR, 2025)

PQ-CAN: A Framework for Simulating Post-Quantum Cryptography in Embedded Systems. - Mauro Conti; Francesco Marchiori; Sebastiano Matarazzo; Marco Rubin (CoRR, 2025)

A Survey and Comparative Analysis of Security Properties of CAN Authentication Protocols. - Alessandro Lotto; Francesco Marchiori; Alessandro Brighente; Mauro Conti (IEEE Commun. Surv. Tutorials, 2025)

Inference Attacks on Encrypted Online Voting via Traffic Analysis. - Anastasiia Belousova; Francesco Marchiori; Mauro Conti (CoRR, 2025)

Preventing Robotic Jailbreaking via Multimodal Domain Adaptation. - Francesco Marchiori; Rohan Sinha; Christopher Agia; Alexander Robey; George J. Pappas; Mauro Conti; Marco Pavone 001 (CoRR, 2025)