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Fabio Massimo Zennaro
Fabio Massimo Zennaro
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Title
Cited by
Cited by
Year
Modeling penetration testing with reinforcement learning using capture-the-flag challenges and tabular Q-learning
FM Zennaro, L Erdodi
arXiv preprint arXiv:2005.12632 2, 2020
65*2020
Towards understanding sparse filtering: A theoretical perspective
FM Zennaro, K Chen
Neural Networks 98, 154-177, 2018
402018
Simulating SQL injection vulnerability exploitation using Q-learning reinforcement learning agents
L Erdődi, ĹĹ Sommervoll, FM Zennaro
Journal of Information Security and Applications 61, 102903, 2021
392021
Firearm detection and segmentation using an ensemble of semantic neural networks
A Egiazarov, V Mavroeidis, FM Zennaro, K Vishi
2019 European Intelligence and Security Informatics Conference (EISIC), 70-77, 2019
292019
The Agent Web Model: modeling web hacking for reinforcement learning
L Erdődi, FM Zennaro
International Journal of Information Security 21 (2), 293-309, 2022
172022
A new decision making model based on Rank Centrality for GDM with fuzzy preference relations
A Yazidi, M Ivanovska, FM Zennaro, PG Lind, EH Viedma
European Journal of Operational Research 297 (3), 1030-1041, 2022
162022
Stack-based buffer overflow detection using recurrent neural networks
WA Dahl, L Erdodi, FM Zennaro
arXiv preprint arXiv:2012.15116, 2020
92020
Sql injections and reinforcement learning: An empirical evaluation of the role of action structure
M Del Verme, ĹĹ Sommervoll, L Erdődi, S Totaro, FM Zennaro
Secure IT Systems: 26th Nordic Conference, NordSec 2021, Virtual Event …, 2021
72021
Jointly learning consistent causal abstractions over multiple interventional distributions
FM Zennaro, M Drávucz, G Apachitei, WD Widanage, T Damoulas
arXiv preprint arXiv:2301.05893, 2023
62023
Abstraction between structural causal models: A review of definitions and properties
FM Zennaro
arXiv preprint arXiv:2207.08603, 2022
62022
Analyzing and storing network intrusion detection data using bayesian coresets: A preliminary study in offline and streaming settings
FM Zennaro
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
62019
An empirical evaluation of the approximation of subjective logic operators using Monte Carlo simulations
FM Zennaro, M Ivanovska, A Jřsang
International Journal of Approximate Reasoning 111, 56-77, 2019
42019
Pooling of causal models under counterfactual fairness via causal judgement aggregation
FM Zennaro, M Ivanovska
arXiv preprint arXiv:1805.09866, 2018
42018
Firearm detection via convolutional neural networks: comparing a semantic segmentation model against end-to-end solutions
A Egiazarov, FM Zennaro, V Mavroeidis
2020 IEEE International Conference on Big Data (Big Data), 1796-1804, 2020
32020
Using subjective logic to estimate uncertainty in multi-armed bandit problems
FM Zennaro, A Jřsang
arXiv preprint arXiv:2008.07386, 2020
32020
Counterfactually fair prediction using multiple causal models
FM Zennaro, M Ivanovska
Multi-Agent Systems: 16th European Conference, EUMAS 2018, Bergen, Norway …, 2019
22019
On covariate shift adaptation via sparse filtering
FM Zennaro, K Chen
arXiv preprint arXiv:1607.06781, 2016
22016
Quantifying Consistency and Information Loss for Causal Abstraction Learning
FM Zennaro, P Turrini, T Damoulas
arXiv preprint arXiv:2305.04357, 2023
12023
Towards computing an optimal abstraction for structural causal models
FM Zennaro, P Turrini, T Damoulas
arXiv preprint arXiv:2208.00894, 2022
12022
A Left Realist Critique of the Political Value of Adopting Machine Learning Systems in Criminal Justice
FM Zennaro
ECML PKDD 2020 Workshops: Workshops of the European Conference on Machine …, 2020
12020
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