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ORCIDTommaso Puccetti
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2020 – today
- 2024
[c4]Tommaso Puccetti, Tommaso Zoppi, Andrea Ceccarelli:
On attacks (dis)similarities to test adversarial defense: can we reduce the attack set? ITASEC 2024- [i3]Tommaso Puccetti, Simone Nardi, Cosimo Cinquilli, Tommaso Zoppi, Andrea Ceccarelli:
ROSpace: Intrusion Detection Dataset for a ROS2-Based Cyber-Physical System. CoRR abs/2402.08468 (2024) - [i2]Tommaso Puccetti, Andrea Ceccarelli:
Detection Latencies of Anomaly Detectors: An Overlooked Perspective ? CoRR abs/2402.09082 (2024) - 2023
- [j1]Tommaso Zoppi
, Andrea Ceccarelli, Tommaso Puccetti, Andrea Bondavalli:
Which algorithm can detect unknown attacks? Comparison of supervised, unsupervised and meta-learning algorithms for intrusion detection. Comput. Secur. 127: 103107 (2023) - [c3]Tommaso Puccetti:
Early Detection of Unknown Attacks with Algorithms for Structured Data. ISSREW 2023: 5-8 - [c2]Lorenzo Sarti, Hudson Martins Silva Bruno, Tommaso Puccetti, Esther Colombini, Andrea Ceccarelli:
Towards Robust Visual Odometry Systems Against Camera Lens Failures. ISSREW 2023: 164-165 - [c1]Tommaso Puccetti, Andrea Ceccarelli, Tommaso Zoppi, Andrea Bondavalli:
Detection of Adversarial Attacks by Observing Deep Features with Structured Data Algorithms. SAC 2023: 125-134 - [i1]Tommaso Puccetti, Tommaso Zoppi, Andrea Ceccarelli:
On the Efficacy of Metrics to Describe Adversarial Attacks. CoRR abs/2301.13028 (2023)
Coauthor Index
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