Fabio Massimo Zennaro
Orcid: 0000-0003-0195-8301
According to our database1,
Fabio Massimo Zennaro
authored at least 27 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on github.com
On csauthors.net:
Bibliography
2024
Simulating all archetypes of SQL injection vulnerability exploitation using reinforcement learning agents.
Int. J. Inf. Sec., February, 2024
2023
Modelling penetration testing with reinforcement learning using capture-the-flag challenges: Trade-offs between model-free learning and a priori knowledge.
IET Inf. Secur., May, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions.
Proceedings of the Conference on Causal Learning and Reasoning, 2023
2022
Int. J. Inf. Sec., 2022
A new decision making model based on Rank Centrality for GDM with fuzzy preference relations.
Eur. J. Oper. Res., 2022
Abstraction between Structural Causal Models: A Review of Definitions and Properties.
CoRR, 2022
2021
Simulating SQL injection vulnerability exploitation using Q-learning reinforcement learning agents.
J. Inf. Secur. Appl., 2021
SQL Injections and Reinforcement Learning: An Empirical Evaluation of the Role of Action Structure.
Proceedings of the Secure IT Systems - 26th Nordic Conference, NordSec 2021, Virtual Event, 2021
2020
CoRR, 2020
Modeling Penetration Testing with Reinforcement Learning Using Capture-the-Flag Challenges and Tabular Q-Learning.
CoRR, 2020
A Left Realist Critique of the Political Value of Adopting Machine Learning Systems in Criminal Justice.
Proceedings of the ECML PKDD 2020 Workshops, 2020
Firearm Detection via Convolutional Neural Networks: Comparing a Semantic Segmentation Model Against End-to-End Solutions.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
An empirical evaluation of the approximation of subjective logic operators using Monte Carlo simulations.
Int. J. Approx. Reason., 2019
CoRR, 2019
Analyzing and Storing Network Intrusion Detection Data Using Bayesian Coresets: A Preliminary Study in Offline and Streaming Settings.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Proceedings of the European Intelligence and Security Informatics Conference, 2019
2018
Neural Networks, 2018
Pooling of Causal Models under Counterfactual Fairness via Causal Judgement Aggregation.
CoRR, 2018
Proceedings of the Multi-Agent Systems - 16th European Conference, 2018
2017
PhD thesis, 2017
2016