ZOPPI, TOMMASO

ZOPPI, TOMMASO  

Matematica e Informatica 'Ulisse Dini'  

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Titolo Data di pubblicazione Autore(i) File
A Modeling Framework to Support Resilient Evolution Planning of Smart Grids 2017 Zoppi, Tommaso; Bessler, Sandford; Ceccarelli, Andrea; Lambert, Edward; Lau, Eng Tseng; Vasenev, Alexandr
A Multi-layer Anomaly Detector for Dynamic Service-Based Systems 2015 Tommaso Zoppi; Andrea Bondavalli; Andrea Ceccarelli; Massimiliano Itria
A Strategy for Predicting the Performance of Supervised and Unsupervised Tabular Data Classifiers 2025 Zoppi T.; Ceccarelli A.; Bondavalli A.
A Testbed for Evaluating Anomaly Detection Monitors through Fault Injection 2014 Andrea Ceccarelli;Tommaso Zoppi;Andrea Bondavalli;Fabio Duchi;Giuseppe Vella
A Tool for Evolutionary Threat Analysis of Smart Grids 2017 Zoppi, Tommaso; Ceccarelli, Andrea; Mori, Marco
An Initial Investigation on Sliding Windows for Anomaly-Based Intrusion Detection 2019 tommaso zoppi, andrea ceccarelli, andrea bondavalli
Anomaly Detectors for Self-Aware Edge and IoT Devices 2023 Zoppi T.; Merlino G.; Ceccarelli A.; Puliafito A.; Bondavalli A.
Anomaly-based error and intrusion detection in tabular data: No DNN outperforms tree-based classifiers 2024 Zoppi T.; Gazzini S.; Ceccarelli A.
Bringing Machine Learning Classifiers Into Critical Cyber-Physical Systems: a Matter of Design 2025 Sayin B.; Zoppi T.; Marchini N.; Khokhar F.A.; Passerini A.
Challenging Anomaly Detection in Complex Dynamic Systems 2016 Zoppi, Tommaso; Ceccarelli, Andrea; Bondavalli, Andrea
Confidence ensembles: Tabular data classifiers on steroids 2025 Zoppi T.; Popov P.
Context-Awareness to improve Anomaly Detection in Dynamic Service Oriented Architectures 2016 Zoppi, Tommaso; Ceccarelli, Andrea; Bondavalli, Andrea
Deploying a Generic Threat Model for Detecting Anomalies in a Power Grid Digital Twin 2024 Zoppi T.; Bicchierai I.; Brancati F.; Bondavalli A.; Schwefel H.-P.
Detect Adversarial Attacks against Deep Neural Networks with GPU Monitoring 2021 Zoppi T.; Ceccarelli A.;
Detecting Intrusions by Voting Diverse Machine Learners: Is It Really Worth? 2021 Tommaso Zoppi, Andrea Bondavalli, Andrea Ceccarelli
Detection of Adversarial Attacks by Observing Deep Features with Structured Data Algorithms 2023 Tommaso Puccetti; Andrea Ceccarelli; Tommaso Zoppi; Andrea Bondavalli;
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.
Ensembling Uncertainty Measures to Improve Safety of Black-Box Classifiers 2023 Zoppi T.; Ceccarelli A.; Bondavalli A.
Evaluation of Anomaly Detection algorithms made easy with RELOAD 2019 Tommaso Zoppi, Andrea Ceccarelli, Andrea Bondavalli
Executing Online Anomaly Detection in Complex Dynamic Systems 2017 Zoppi, Tommaso