Sfoglia per Autore
Threat Analysis in Systems-of-Systems: An Emergence-Oriented Approach
2019 ANDREA CECCARELLI, TOMMASO ZOPPI, ALEXANDR VASENEV, MARCO MORI, DAN IONITA, LORENA MONTOYA, ANDREA BONDAVALLI
Evaluation of Anomaly Detection algorithms made easy with RELOAD
2019 Tommaso Zoppi, Andrea Ceccarelli, Andrea Bondavalli
On the educated selection of unsupervised algorithms via attacks and anomaly classes
2020 Zoppi T.; Ceccarelli A.; Salani L.; Bondavalli A.
Into the unknown: Unsupervised machine learning algorithms for anomaly-based intrusion detection
2020 Zoppi T.; Ceccarelli A.; Bondavalli A.
Unsupervised Anomaly Detectors to Detect Intrusions in the Current Threat Landscape
2021 tommaso zoppi, andrea ceccarelli, tommaso capecchi, andrea bondavalli
Understanding the properness of incorporating machine learning algorithms in safety-critical systems
2021 Gharib M.; Zoppi T.; Bondavalli A.
Meta-learning to improve unsupervised intrusion detection in cyber-physical systems
2021 Zoppi T.; Gharib M.; Atif M.; Bondavalli A.
Quantitative comparison of supervised algorithms and feature sets for traffic sign recognition
2021 Atif M.; Zoppi T.; Gharib M.; Bondavalli A.
Detect Adversarial Attacks against Deep Neural Networks with GPU Monitoring
2021 Zoppi T.; Ceccarelli A.;
Development and validation of a safe communication protocol compliant to railway standards
2021 Bertieri D.; Ceccarelli A.; Zoppi T.; Mungiello I.; Barbareschi M.; Bondavalli A.
Detecting Intrusions by Voting Diverse Machine Learners: Is It Really Worth?
2021 Tommaso Zoppi, Andrea Bondavalli, Andrea Ceccarelli
Spoofing detectability as a property of biometric characteristics
2021 Zoppi T.; Schiavone E.; Bicchierai I.; Brancati F.; Bondavalli A.
Feature Rankers to Predict Classification Performance of Unsupervised Intrusion Detectors
2021 Zoppi Tommaso, Ceccarelli Andrea, Bondavalli Andrea
Unsupervised Algorithms to Detect Zero-Day Attacks: Strategy and Application
2021 Zoppi Tommaso ; Ceccarelli Andrea; Bondavalli Andrea
MADneSs: a Multi-layer Anomaly Detection Framework for Complex Dynamic Systems
2021 Zoppi T.; Ceccarelli A.; Bondavalli A.
Prepare for trouble and make it double! Supervised – Unsupervised stacking for anomaly-based intrusion detection
2021 Zoppi T.; Ceccarelli A.
Robust Traffic Sign Recognition Against Camera Failures
2022 MUHAMMAD ATIF , ANDREA CECCARELLI , TOMMASO ZOPPI , MOHAMAD GHARIB , ANDREA BONDAVALLI
On the Properness of Incorporating Binary Classification Machine Learning Algorithms into Safety-Critical Systems
2022 Gharib, Mohamad; Zoppi, Tommaso; Bondavalli, Andrea
Towards Enhancing Traffic Sign Recognition through Sliding Windows
2022 Atif M.; Zoppi T.; Gharib M.; Bondavalli A.
Intrusion detection without attack knowledge: Generating out-of-distribution tabular data
2023 Ceccarelli A.; Zoppi T.
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