Early Detection of Unknown Attacks with Algorithms for Structured Data. - Tommaso Puccetti (ISSREW, 2023)

Towards Robust Visual Odometry Systems Against Camera Lens Failures. - Lorenzo Sarti; Hudson Martins Silva Bruno; Tommaso Puccetti; Esther Colombini; Andrea Ceccarelli (ISSREW, 2023)

Detection of Adversarial Attacks by Observing Deep Features with Structured Data Algorithms. - Tommaso Puccetti; Andrea Ceccarelli; Tommaso Zoppi; Andrea Bondavalli (SAC, 2023)

On the Efficacy of Metrics to Describe Adversarial Attacks. - Tommaso Puccetti; Tommaso Zoppi; Andrea Ceccarelli (CoRR, 2023)

Which algorithm can detect unknown attacks? Comparison of supervised, unsupervised and meta-learning algorithms for intrusion detection. - Tommaso Zoppi; Andrea Ceccarelli; Tommaso Puccetti; Andrea Bondavalli (Comput. Secur., 2023)

Detection Latencies of Anomaly Detectors - An Overlooked Perspective? - Tommaso Puccetti; Andrea Ceccarelli (ISSRE, 2024)

On attacks (dis)similarities to test adversarial defense: can we reduce the attack set? - Tommaso Puccetti; Tommaso Zoppi; Andrea Ceccarelli (ITASEC, 2024)

ROSpace: Intrusion Detection Dataset for a ROS2-Based Cyber-Physical System. - Tommaso Puccetti; Simone Nardi; Cosimo Cinquilli; Tommaso Zoppi; Andrea Ceccarelli (CoRR, 2024)

Strategies to Describe and Timely Detect Attacks. - Tommaso Puccetti (DSN-S, 2025)

Creation and Use of a Representative Dataset for Advanced Persistent Threats Detection. - Tommaso Puccetti; Simona De Vivo; Davide Zhang; Pietro Liguori; Roberto Natella; Andrea Ceccarelli (SAFECOMP, 2025)