| The Threat of Adversarial Attacks on Machine Learning in Network Security--A Survey O Ibitoye, R Abou-Khamis, M Shehaby, A Matrawy, MO Shafiq arXiv preprint arXiv:1911.02621, 2019 | 124 | 2019 |
| Evaluation of adversarial training on different types of neural networks in deep learning-based idss R Abou Khamis, A Matrawy 2020 international symposium on networks, computers and communications …, 2020 | 76 | 2020 |
| Investigating resistance of deep learning-based ids against adversaries using min-max optimization R Abou Khamis, MO Shafiq, A Matrawy ICC 2020-2020 IEEE international conference on communications (ICC), 1-7, 2020 | 61 | 2020 |
| The Threat of Adversarial Attacks on Machine Learning in Network Security—A Survey. arXiv 2019 O Ibitoye, R Abou-Khamis, A Matrawy, MO Shafiq arXiv preprint arXiv:1911.02621, 0 | 7 | |
| The threat of adversarial attacks on machine learning in network security—a survey (2019) O Ibitoye, R Abou-Khamis, A Matrawy, M Shafi arXiv preprint arXiv:1911.02621, 1911 | 6 | 1911 |
| Evaluating adversarial learning on different types of deep learning-based intrusion detection systems using min-max optimization R Abou Khamis Carleton University, 2020 | 5 | 2020 |
| Could Min-Max Optimization be a General Defense Against Adversarial Attacks? R Abou Khamis, A Matrawy 2024 International Conference on Computing, Networking and Communications …, 2024 | | 2024 |