| Which algorithm can detect unknown attacks? Comparison of supervised, unsupervised and meta-learning algorithms for intrusion detection T Zoppi, A Ceccarelli, T Puccetti, A Bondavalli Computers & Security 127, 103107, 2023 | 28 | 2023 |
| Detection of Adversarial Attacks by Observing Deep Features with Structured Data Algorithms T Puccetti, A Ceccarelli, T Zoppi, A Bondavalli Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 125-134, 2023 | 2 | 2023 |
| On the Efficacy of Metrics to Describe Adversarial Attacks T Puccetti, T Zoppi, A Ceccarelli arXiv preprint arXiv:2301.13028, 2023 | 1 | 2023 |
| ROSPaCe: Intrusion Detection Dataset for a ROS2-Based Cyber-Physical System and IoT Networks T Puccetti, S Nardi, C Cinquilli, T Zoppi, A Ceccarelli Scientific Data 11 (1), 481, 2024 | | 2024 |
| Detection Latencies of Anomaly Detectors: An Overlooked Perspective? T Puccetti, A Ceccarelli arXiv preprint arXiv:2402.09082, 2024 | | 2024 |
| ROSpace: Intrusion Detection Dataset for a ROS2-Based Cyber-Physical System T Puccetti, S Nardi, C Cinquilli, T Zoppi, A Ceccarelli arXiv preprint arXiv:2402.08468, 2024 | | 2024 |
| Early Detection of Unknown Attacks with Algorithms for Structured Data T Puccetti 2023 IEEE 34th International Symposium on Software Reliability Engineering …, 2023 | | 2023 |
| Towards Robust Visual Odometry Systems Against Camera Lens Failures L Sarti, H Bruno, T Puccetti, E Colombini, A Ceccarelli 2023 IEEE 34th International Symposium on Software Reliability Engineering …, 2023 | | 2023 |
