Image guided reconstruction of un-sampled data: a coherent filling for uncomplete Cultural Heritage models. - Matteo Dellepiane; Andrea Venturi; Roberto Scopigno (ICCV Workshops, 2009)

Image Guided Reconstruction of Un-sampled Data: A Filling Technique for Cultural Heritage Models. - Matteo Dellepiane; Andrea Venturi; Roberto Scopigno (Int. J. Comput. Vis., 2011)

Deep Reinforcement Adversarial Learning Against Botnet Evasion Attacks. - Giovanni Apruzzese; Mauro Andreolini; Mirco Marchetti; Andrea Venturi; Michele Colajanni (IEEE Trans. Netw. Serv. Manag., 2020)

On the feasibility of adversarial machine learning in malware and network intrusion detection. - Andrea Venturi; Claudio Zanasi (NCA, 2021)

Comparison of Machine Learning-based anomaly detectors for Controller Area Network. - Andrea Venturi; Dario Stabili; Francesco Pollicino; Emanuele Bianchi; Mirco Marchetti (NCA, 2022)

Robustness Evaluation of Network Intrusion Detection Systems based on Sequential Machine Learning. - Andrea Venturi; Claudio Zanasi; Mirco Marchetti; Michele Colajanni (NCA, 2022)

Classification of Web Phishing Kits for early detection by platform providers. - Andrea Venturi; Michele Colajanni; Marco Ramilli; Giorgio Valenziano Santangelo (CoRR, 2022)

Practical Evaluation of Graph Neural Networks in Network Intrusion Detection. - Andrea Venturi; Daniele Pellegrini; Mauro Andreolini; Luca Ferretti; Mirco Marchetti; Michele Colajanni (ITASEC, 2023)

ARGANIDS: a novel Network Intrusion Detection System based on adversarially Regularized Graph Autoencoder. - Andrea Venturi; Matteo Ferrari; Mirco Marchetti; Michele Colajanni (SAC, 2023)

Hardening Machine Learning based Network Intrusion Detection Systems with synthetic netflows. - Andrea Venturi; Dimitri Galli; Dario Stabili; Mirco Marchetti (ITASEC, 2024)

Assessing generalizability of Deep Reinforcement Learning algorithms for Automated Vulnerability Assessment and Penetration Testing. - Andrea Venturi; Mauro Andreolini; Mirco Marchetti; Michele Colajanni (Array, 2024)

Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks. - Andrea Venturi; Dario Stabili; Mirco Marchetti (CoRR, 2024)

Evaluating Explainability of Graph Neural Networks for Network Intrusion Detection with Structural Attacks. - Dimitri Galli; Andrea Venturi; Isabella Marasco; Mirco Marchetti (ITASEC/SERICS, 2025)

Topological Analysis of Mixer Activities in the Bitcoin Network. - Francesco Zola; Jon Ander Medina; Andrea Venturi; Raul Orduna (CoRR, 2025)