VENTURI, ANDREA

VENTURI, ANDREA  

Dipartimento di Ingegneria "Enzo Ferrari"  

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Titolo Data di pubblicazione Autore(i) File
ARGANIDS: A novel Network Intrusion Detection System based on adversarially Regularized Graph Autoencoder 1-gen-2023 Venturi, A.; Ferrari, M.; Marchetti, M.; Colajanni, M.
Comparison of Machine Learning-based anomaly detectors for Controller Area Network 1-gen-2022 Venturi, A.; Stabili, D.; Pollicino, F.; Bianchi, E.; Marchetti, M.
Deep Reinforcement Adversarial Learning against Botnet Evasion Attacks 1-gen-2020 Apruzzese, G.; Andreolini, M.; Marchetti, M.; Venturi, A.; Colajanni, M.
DReLAB - Deep REinforcement Learning Adversarial Botnet: A benchmark dataset for adversarial attacks against botnet Intrusion Detection Systems 1-gen-2021 Venturi, A.; Apruzzese, G.; Andreolini, M.; Colajanni, M.; Marchetti, M.
On the feasibility of adversarial machine learning in malware and network intrusion detection 1-gen-2021 Venturi, Andrea; Zanasi, Claudio
Practical Evaluation of Graph Neural Networks in Network Intrusion Detection 1-gen-2023 Venturi, A.; Pellegrini, D.; Andreolini, M.; Ferretti, L.; Marchetti, M.; Colajanni, M.
Robustness Evaluation of Network Intrusion Detection Systems based on Sequential Machine Learning 1-gen-2022 Venturi, A.; Zanasi, C.; Marchetti, M.; Colajanni, M.