ZUPPELLI, MARCO

ZUPPELLI, MARCO  

Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI - Sede Secondaria Genova  

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Titolo Data di pubblicazione Autore(i) File
A Few to Unveil Them All: Leveraging Mixture of Experts on Minimal Data for Detecting Covert Channels in Containerized Cloud Infrastructures 1-gen-2024 Caviglione, L.; Guarascio, M.; Pisani, F. S.; Zuppelli, M.
Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity 1-gen-2024 Caviglione, L.; Comito, C.; Coppolillo, E.; Gallo, D.; Guarascio, M.; Liguori, A.; Manco, G.; Minici, M.; Mungari, S.; Pisani, F. S.; Ritacco, E.; Rullo, A.; Zicari, P.; Zuppelli, M.
Erasing the Shadow: Sanitization of Images with Malicious Payloads Using Deep Autoencoders 1-gen-2024 Liguori, Angelica; Zuppelli, Marco; Gallo, Daniela; Guarascio, Massimo; Caviglione, Luca
Investigating HTTP Covert Channels Through Fuzz Testing 1-gen-2024 Holk, K.; Mazurczyk, W.; Zuppelli, M.; Caviglione, L.
No Country for Leaking Containers: Detecting Exfiltration of Secrets Through AI and Syscalls 1-gen-2024 Zuppelli, M.; Guarascio, M.; Caviglione, L.; Liguori, A.
A Federated Approach for Detecting Data Hidden in Icons of Mobile Applications Delivered via Web and Multiple Stores 1-gen-2023 Cassavia, Nunziato; Caviglione, Luca; Guarascio, Massimo; Liguori, Angelica; Manco, Giuseppe; Zuppelli, Marco
DockerChannel: A Framework for Evaluating Information Leakages of Docker Containers 1-gen-2023 Cambiaso, Enrico; Caviglione, Luca; Zuppelli, Marco
Information Leakages of Docker Containers: Characterization and Mitigation Strategies 1-gen-2023 Marco Zuppelli; Matteo Repetto; Luca Caviglione; Enrico Cambiaso
Learning autoencoder ensembles for detecting malware hidden communications in IoT ecosystems 1-gen-2023 Cassavia, Nunziato; Caviglione, Luca; Guarascio, Massimo; Liguori, Angelica; Zuppelli, Marco
ORISHA: Improving Threat Detection through Orchestrated Information Sharing 1-gen-2023 Caviglione, L; Comito, C; Guarascio, M; Manco, G; S Pisani, F; Zuppelli, M
Using AI to face covert attacks in IoT and softwarized scenarios: challenges and opportunities 1-gen-2023 Liguori, Angelica; Mungari, Simone; Zuppelli, Marco; Comito, Carmela; Cambiaso, Enrico; Repetto, Matteo; Guarascio, Massimo; Caviglione, Luca; Manco, Giuseppe
Are We Protected Against Network Covert Channels? 1-gen-2022 Zuppelli, Marco
Code Layering for the Detection of Network Covert Channels in Agentless Systems 1-gen-2022 Zuppelli, M; Repetto, M; Schaffhauser, A; Mazurczyk, W; Caviglione, L
Detection of Malicious Images in Production-Quality Scenarios with the SIMARGL Toolkit 1-gen-2022 Caviglione, Luca; Grabowski, Martin; Gutberlet, Kai; Marzecki, Adrian; Zuppelli, Marco; Schaffhauser, Andreas; Mazurczyk, Wojciech
Detection of Network Covert Channels in IoT Ecosystems Using Machine Learning 1-gen-2022 Guarascio, Massimo; Zuppelli, Marco; Cassavia, Nunziato; Manco, Giuseppe; Caviglione, Luca
Detection of Steganographic Threats Targeting Digital Images in Heterogeneous Ecosystems Through Machine Learning 1-gen-2022 Cassavia, N; Caviglione, L; Guarascio, M; Manco, G; Zuppelli, Marco
Efficient Detection and Recovery of Malicious PowerShell Scripts Embedded into Digital Images 1-gen-2022 A. Schaffhauser; W. Mazurczyk; L. Caviglione; M. Zuppelli; J. HernandezCastro
Ensembling Sparse Autoencoders for Network Covert Channel Detection in IoT Ecosystems 1-gen-2022 Cassavia, Nunziato; Caviglione, Luca; Guarascio, Massimo; Liguori, Angelica; Zuppelli, Marco
Federated Learning for the Efficient Detection of Steganographic Threats Hidden in Image Icons 1-gen-2022 Cassavia, Nunziato; Caviglione, Luca; Guarascio, Massimo; Liguori, Angelica; Surace, Giuseppe; Zuppelli, Marco
IPv6CC: IPv6 Covert Channels for Testing Networks Against Stegomalware and Data Exfiltration 1-gen-2022 Caviglione, L; Schaffhauser, A; Zuppelli, M; Mazurczyk, W