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 | 19 | 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 | 18 | 2022 |
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 | 7 | 2021 |
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 | 1 | 2023 |
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 |
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 | | 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 | | 2022 |
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, ... | | |