Andrea Venturi

According to our database, Andrea Venturi authored at least 19 papers between 2009 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Analyzing Economic and Topological Patterns in Mixer Activities: Insights From a Case Study.

Francesco Zola, Jon Ander Medina, Andrea Venturi, Raul Orduna

IEEE Access, 2026

Synthetic Pattern Generation and Detection of Financial Activities using Graph Autoencoders.

Francesco Zola, Lucia Muñoz, Andrea Venturi, Amaia Gil

Proceedings of the 17th International Conference on Ambient Systems, 2026

2025

ART: A Graph-based Framework for Investigating Illicit Activity in Monero via Address-Ring-Transaction Structures.

Andrea Venturi, Imanol Jerico-Yoldi, Francesco Zola, Raul Orduna

CoRR, November, 2025

Defending Network Intrusion Detection Systems Based on Graph Neural Networks Against Structural Adversarial Attacks.

Dimitri Galli, Andrea Venturi, Dario Stabili, Mauro Andreolini, Mirco Marchetti

Proceedings of the 23rd International Symposium on Network Computing and Application, 2025

Evaluating Explainability of Graph Neural Networks for Network Intrusion Detection with Structural Attacks.

Dimitri Galli, Andrea Venturi, Isabella Marasco, Mirco Marchetti

Proceedings of the Joint National Conference on Cybersecurity (ITASEC & SERICS 2025), 2025

A Graph Machine Learning Approach for Detecting Topological Patterns in Transactional Graphs.

Francesco Zola, Jon Ander Medina, Andrea Venturi, Amaia Gil, Raul Orduna

Proceedings of the IEEE International Conference on Data Mining, 2025

Topological Analysis of Mixer Activities in the Bitcoin Network.

Francesco Zola, Jon Ander Medina, Andrea Venturi, Raul Orduna

Proceedings of the 2025 IEEE International Conference on Blockchain and Cryptocurrency, 2025

2024

Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks.

Andrea Venturi, Dario Stabili, Mirco Marchetti

CoRR, 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

Hardening Machine Learning based Network Intrusion Detection Systems with synthetic netflows.

Andrea Venturi, Dimitri Galli, Dario Stabili, Mirco Marchetti

Proceedings of the 8th Italian Conference on Cyber Security (ITASEC 2024), 2024

2023

ARGANIDS: a novel Network Intrusion Detection System based on adversarially Regularized Graph Autoencoder.

Andrea Venturi, Matteo Ferrari, Mirco Marchetti, Michele Colajanni

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Practical Evaluation of Graph Neural Networks in Network Intrusion Detection.

Andrea Venturi, Daniele Pellegrini, Mauro Andreolini, Luca Ferretti, Mirco Marchetti, Michele Colajanni

Proceedings of the Italian Conference on Cyber Security (ITASEC 2023), 2023

2022

Classification of Web Phishing Kits for early detection by platform providers.

Andrea Venturi, Michele Colajanni, Marco Ramilli, Giorgio Valenziano Santangelo

CoRR, 2022

Robustness Evaluation of Network Intrusion Detection Systems based on Sequential Machine Learning.

Andrea Venturi, Claudio Zanasi, Mirco Marchetti, Michele Colajanni

Proceedings of the 21st IEEE International Symposium on Network Computing and Applications, 2022

Comparison of Machine Learning-based anomaly detectors for Controller Area Network.

Andrea Venturi, Dario Stabili, Francesco Pollicino, Emanuele Bianchi, Mirco Marchetti

Proceedings of the 21st IEEE International Symposium on Network Computing and Applications, 2022

2021

On the feasibility of adversarial machine learning in malware and network intrusion detection.

Andrea Venturi, Claudio Zanasi

Proceedings of the 20th IEEE International Symposium on Network Computing and Applications, 2021

2020

Deep Reinforcement Adversarial Learning Against Botnet Evasion Attacks.

Giovanni Apruzzese, Mauro Andreolini, Mirco Marchetti, Andrea Venturi, Michele Colajanni

IEEE Trans. Netw. Serv. Manag., 2020

2011

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

2009

Image guided reconstruction of un-sampled data: a coherent filling for uncomplete Cultural Heritage models.

Matteo Dellepiane, Andrea Venturi, Roberto Scopigno

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009