Andrea Venturi

Orcid: 0000-0003-3822-968X

According to our database1, Andrea Venturi authored at least 12 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks.
CoRR, 2024

Assessing generalizability of Deep Reinforcement Learning algorithms for Automated Vulnerability Assessment and Penetration Testing.
Array, 2024

Hardening Machine Learning based Network Intrusion Detection Systems with synthetic netflows.
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.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Practical Evaluation of Graph Neural Networks in Network Intrusion Detection.
Proceedings of the Italian Conference on Cyber Security (ITASEC 2023), 2023

2022
Classification of Web Phishing Kits for early detection by platform providers.
CoRR, 2022

Robustness Evaluation of Network Intrusion Detection Systems based on Sequential Machine Learning.
Proceedings of the 21st IEEE International Symposium on Network Computing and Applications, 2022

Comparison of Machine Learning-based anomaly detectors for Controller Area Network.
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.
Proceedings of the 20th IEEE International Symposium on Network Computing and Applications, 2021

2020
Deep Reinforcement Adversarial Learning Against Botnet Evasion Attacks.
IEEE Trans. Netw. Serv. Manag., 2020

2011
Image Guided Reconstruction of Un-sampled Data: A Filling Technique for Cultural Heritage Models.
Int. J. Comput. Vis., 2011

2009
Image guided reconstruction of un-sampled data: a coherent filling for uncomplete Cultural Heritage models.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009


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