| API Security in Large Enterprises: Leveraging Machine Learning for Anomaly Detection G Baye, F Hussain, A Oracevic, R Hussain, SMA Kazmi 2021 International Symposium on Networks, Computers and Communications …, 2021 | 29 | 2021 |
| Computing on wheels: A deep reinforcement learning-based approach SMA Kazmi, TM Ho, TT Nguyen, M Fahim, A Khan, MJ Piran, G Baye IEEE Transactions on Intelligent Transportation Systems 23 (11), 22535-22548, 2022 | 24 | 2022 |
| Performance analysis of deep-learning based open set recognition algorithms for network intrusion detection systems G Baye, P Silva, A Broggi, L Fiondella, ND Bastian, G Kul NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, 1-6, 2023 | 11 | 2023 |
| Fedperf: A practitioners’ guide to performance of federated learning algorithms A Mulay, B Gaspard, R Naidu, S Gonzalez-Toral, S Vineeth, T Semwal, ... NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 302-324, 2021 | 9 | 2021 |
| Cache sharing in UAV-enabled cellular network: A deep reinforcement learning-based approach H Muslih, SMA Kazmi, M Mazzara, G Baye IEEE Access 12, 43422-43435, 2024 | 3 | 2024 |
| Covariate Software Vulnerability Discovery Model to Support Cybersecurity Test & Evaluation (Practical Experience Report) J Sorrentino, P Silva, G Baye, G Kul, L Fiondella 2022 IEEE 33rd International Symposium on Software Reliability Engineering …, 2022 | 3 | 2022 |
| varMax: Towards Confidence-Based Zero-Day Attack Recognition G Baye, P Silva, A Broggi, ND Bastian, L Fiondella, G Kul MILCOM 2024-2024 IEEE Military Communications Conference (MILCOM), 863-868, 2024 | 2 | 2024 |
| varMax: Uncertainty and Novelty Management in Deep Neural Networks A Broggi, G Baye, P Silva, N Costagliola, N Bastian, L Fiondella, G Kul | 1 | 2025 |
| Predicting F1-Scores of Classifiers in Network Intrusion Detection Systems P Silva, G Baye, A Broggi, ND Bastian, G Kul, L Fiondella 2024 33rd International Conference on Computer Communications and Networks …, 2024 | 1 | 2024 |
| Short paper: Static and microarchitectural ML-based approaches for detecting spectre vulnerabilities and attacks C Biringa, B Gaspard, G Kul Proceedings of the 11th International Workshop on Hardware and Architectural …, 2022 | 1 | 2022 |
| Regression and Time Series Mixture Approaches to Predict System Performance and Assess Resilience P Silva, G Baye, M Hotchkiss, G Kul, ND Bastian, L Fiondella IEEE Transactions on Reliability, 2024 | | 2024 |
| An Evaluation of Open-Set Recognition-Enabled End-Layers on Deep-Learning Models in Network Intrusion Detection Systems G Baye, P Silva, A Broggi, L Fiondella, N Bastian, G Kul Available at SSRN 4933825, 0 | | |
| 2022 IEEE 33rd International Symposium on Software Reliability Engineering (ISSRE)| 978-1-6654-5132-1/22/$31.00© 2022 IEEE| DOI: 10.1109/ISSRE55969. 2022.00059 U Agarwal, N Aguirre, K Angstadt, M Arratibel, A Arrieta, J Ayerdi, ... | | |
Gökhan KulUniversity of Massachusetts Dartmouth在 umassd.edu 的电子邮件经过验证