| 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 | 103* | 2020 |
| Simulating SQL injection vulnerability exploitation using Q-learning reinforcement learning agents L Erdődi, ÅÅ Sommervoll, FM Zennaro Journal of Information Security and Applications 61, 102903, 2021 | 63 | 2021 |
| Towards understanding sparse filtering: A theoretical perspective FM Zennaro, K Chen Neural Networks 98, 154-177, 2018 | 42 | 2018 |
| 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 | 34 | 2019 |
| The Agent Web Model: modeling web hacking for reinforcement learning L Erdődi, FM Zennaro International Journal of Information Security 21 (2), 293-309, 2022 | 22 | 2022 |
| 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 | 21 | 2022 |
| Jointly learning consistent causal abstractions over multiple interventional distributions FM Zennaro, M Drávucz, G Apachitei, WD Widanage, T Damoulas Conference on Causal Learning and Reasoning, 88-121, 2023 | 14 | 2023 |
| Stack-based buffer overflow detection using recurrent neural networks WA Dahl, L Erdodi, FM Zennaro arXiv preprint arXiv:2012.15116, 2020 | 14 | 2020 |
| Abstraction between structural causal models: A review of definitions and properties FM Zennaro arXiv preprint arXiv:2207.08603, 2022 | 12 | 2022 |
| Sql injections and reinforcement learning: An empirical evaluation of the role of action structure M Del Verme, ÅÅ Sommervoll, L Erdődi, S Totaro, FM Zennaro Secure IT Systems: 26th Nordic Conference, NordSec 2021, Virtual Event …, 2021 | 10 | 2021 |
| Causal optimal transport of abstractions Y Felekis, FM Zennaro, N Branchini, T Damoulas Causal Learning and Reasoning, 462-498, 2024 | 7 | 2024 |
| 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 | 6 | 2019 |
| An empirical evaluation of the approximation of subjective logic operators using Monte Carlo simulations FM Zennaro, M Ivanovska, A Jøsang International Journal of Approximate Reasoning 111, 56-77, 2019 | 5 | 2019 |
| Pooling of causal models under counterfactual fairness via causal judgement aggregation FM Zennaro, M Ivanovska arXiv preprint arXiv:1805.09866, 2018 | 5 | 2018 |
| Quantifying consistency and information loss for causal abstraction learning FM Zennaro, P Turrini, T Damoulas arXiv preprint arXiv:2305.04357, 2023 | 4 | 2023 |
| 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 | 4 | 2020 |
| Simulating all archetypes of SQL injection vulnerability exploitation using reinforcement learning agents ÅÅ Sommervoll, L Erdődi, FM Zennaro International Journal of Information Security 23 (1), 225-246, 2024 | 3 | 2024 |
| Interventionally Consistent Surrogates for Agent-based Simulators J Dyer, N Bishop, Y Felekis, FM Zennaro, A Calinescu, T Damoulas, ... arXiv preprint arXiv:2312.11158, 2023 | 3 | 2023 |
| Using subjective logic to estimate uncertainty in multi-armed bandit problems FM Zennaro, A Jøsang arXiv preprint arXiv:2008.07386, 2020 | 3 | 2020 |
| Counterfactually fair prediction using multiple causal models FM Zennaro, M Ivanovska Multi-Agent Systems: 16th European Conference, EUMAS 2018, Bergen, Norway …, 2019 | 3 | 2019 |
László ErdődiAssociate Professor in Computer Science, University of OsloAdresse e-mail validée de ifi.uio.no
