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Andrea Venturi
Observed name:
Venturi, Andrea
Institution:
Vicomtech
Observed institutions:
University of Modena and Reggio Emilia,
Vicomtech
ORCID:
0000-0003-3822-968X
Observed ORCID:
0000-0003-3822-968X
OpenAlex ID:
A5042333020
Deep Reinforcement Adversarial Learning Against Botnet Evasion Attacks
2020
·
Giovanni Apruzzese
, Mauro Andreolini
, et al.
·
IEEE Transactions on Network and Service Management
·
118
PDF
ARGANIDS: a novel Network Intrusion Detection System based on adversarially Regularized Graph Autoencoder
2023
·
Andrea Venturi
, Matteo Ferrari
, et al.
·
ACM Symposium on Applied Computing
·
28
PDF
DReLAB - Deep REinforcement Learning Adversarial Botnet: A benchmark dataset for adversarial attacks against botnet Intrusion Detection Systems
2020
·
Andrea Venturi
, Giovanni Apruzzese
, et al.
·
Data in Brief
·
25
PDF
Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks
2024
·
Venturi, Andrea
, Stabili, Dario
, et al.
·
arXiv (Cornell University)
·
9
PDF
On the feasibility of adversarial machine learning in malware and network intrusion detection
2021
·
Andrea Venturi
, Claudio Zanasi
·
IEEE International Symposium on Network Computing and Applications (NCA)
·
8
Comparison of Machine Learning-based anomaly detectors for Controller Area Network
2022
·
Andrea Venturi
, Dario Stabili
, et al.
·
IEEE International Symposium on Network Computing and Applications (NCA)
·
7
Classification of Web Phishing Kits for early detection by platform providers
2022
·
Venturi, Andrea
, Colajanni, Michele
, et al.
·
arXiv (Cornell University)
·
5
PDF
Assessing generalizability of Deep Reinforcement Learning algorithms for Automated Vulnerability Assessment and Penetration Testing
2024
·
Andrea Venturi
, Mauro Andreolini
, et al.
·
Array
·
3
Robustness Evaluation of Network Intrusion Detection Systems based on Sequential Machine Learning
2022
·
Andrea Venturi
, Claudio Zanasi
, et al.
·
IEEE International Symposium on Network Computing and Applications (NCA)
·
3
Synthetic Pattern Generation and Detection of Financial Activities using Graph Autoencoders
2026
·
Francesco Zola
, Lucia Muñoz
, et al.
·
Procedia Computer Science
·
1
A Tree-Structured Approach for Phishing Template and Attacker Attribution Analysis
2026
·
Agirre, Unai
, Jerico, Imanol
, et al.
·
arXiv (Cornell University)
PDF
CFG of Cryptojacking and NoCJ Malware
2026
·
Zola, Francesco
, Venturi, Andrea
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Analyzing Economic and Topological Patterns in Mixer Activities: Insights From a Case Study
2026
·
Francesco Zola
, Jon Ander Medina
, et al.
·
IEEE Access
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Works count:
17
Citation count:
208
H-index:
6
I10-index:
3
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