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ORCIDAndrea Venturi
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2020 – today
- 2024
[j3]Andrea Venturi
, Mauro Andreolini, Mirco Marchetti, Michele Colajanni:
Assessing generalizability of Deep Reinforcement Learning algorithms for Automated Vulnerability Assessment and Penetration Testing. Array 24: 100365 (2024)- [c7]Andrea Venturi, Dimitri Gall, Dario Stabili, Mirco Marchetti:
Hardening Machine Learning based Network Intrusion Detection Systems with synthetic netflows. ITASEC 2024 - [i2]Andrea Venturi, Dario Stabili, Mirco Marchetti:
Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks. CoRR abs/2403.11830 (2024) - 2023
- [c6]Andrea Venturi, Daniele Pellegrini, Mauro Andreolini, Luca Ferretti, Mirco Marchetti, Michele Colajanni:
Practical Evaluation of Graph Neural Networks in Network Intrusion Detection. ITASEC 2023 - [c5]Andrea Venturi, Matteo Ferrari, Mirco Marchetti, Michele Colajanni:
ARGANIDS: a novel Network Intrusion Detection System based on adversarially Regularized Graph Autoencoder. SAC 2023: 1540-1548 - 2022
- [c4]Andrea Venturi, Dario Stabili, Francesco Pollicino, Emanuele Bianchi, Mirco Marchetti:
Comparison of Machine Learning-based anomaly detectors for Controller Area Network. NCA 2022: 81-88 - [c3]Andrea Venturi, Claudio Zanasi, Mirco Marchetti, Michele Colajanni:
Robustness Evaluation of Network Intrusion Detection Systems based on Sequential Machine Learning. NCA 2022: 235-242 - [i1]Andrea Venturi, Michele Colajanni, Marco Ramilli, Giorgio Valenziano Santangelo:
Classification of Web Phishing Kits for early detection by platform providers. CoRR abs/2210.08273 (2022) - 2021
- [c2]Andrea Venturi, Claudio Zanasi:
On the feasibility of adversarial machine learning in malware and network intrusion detection. NCA 2021: 1-8 - 2020
- [j2]Giovanni Apruzzese, Mauro Andreolini, Mirco Marchetti, Andrea Venturi, Michele Colajanni:
Deep Reinforcement Adversarial Learning Against Botnet Evasion Attacks. IEEE Trans. Netw. Serv. Manag. 17(4): 1975-1987 (2020)
2010 – 2019
- 2011
- [j1]Matteo Dellepiane, Andrea Venturi, Roberto Scopigno:
Image Guided Reconstruction of Un-sampled Data: A Filling Technique for Cultural Heritage Models. Int. J. Comput. Vis. 94(1): 2-11 (2011)
2000 – 2009
- 2009
- [c1]Matteo Dellepiane, Andrea Venturi, Roberto Scopigno:
Image guided reconstruction of un-sampled data: a coherent filling for uncomplete Cultural Heritage models. ICCV Workshops 2009: 939-946
Coauthor Index
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