Analyzing adversarial attacks against deep learning for intrusion detection in IoT networks O Ibitoye, O Shafiq, A Matrawy 2019 IEEE global communications conference (GLOBECOM), 1-6, 2019 | 222 | 2019 |
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 | 96 | 2019 |
Differentially private self-normalizing neural networks for adversarial robustness in federated learning O Ibitoye, MO Shafiq, A Matrawy Computers & Security 116, 102631, 2022 | 17 | 2022 |
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 | 6 | |
DiPSeN: Differentially Private Self-normalizing Neural Networks For Adversarial Robustness in Federated Learning O Ibitoye, MO Shafiq, A Matrawy arXiv preprint arXiv:2101.03218, 2021 | 4 | 2021 |
A GAN-based Approach for Mitigating Inference Attacks in Smart Home Environment O Ibitoye, A Matrawy, MO Shafiq arXiv preprint arXiv:2011.06725, 2020 | 3 | 2020 |
A Convolutional Neural Network Based Solution for Pipeline Leak Detection O Ibitoye, O Shafiq, A Matrawy Recruit Researchers, Oct, 2019 | 2 | 2019 |
Cybersecurity Challenge Analysis of Work-from-Anywhere (WFA) and Recommendations guided by a User Study M Mahyoub, A Matrawy, K Isleem, O Ibitoye | 1 | 2023 |