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cs.LG2020
Evaluation of Adversarial Training on Different Types of Neural Networks in Deep Learning-based IDSs
Rana Abou Khamis, Ashraf Matrawy
Network security applications, including intrusion detection systems of deep neural networks, are increasing rapidly to make detection task of anomaly activities more accurate and…
cs.LG2019★ 1 cited
Investigating Resistance of Deep Learning-based IDS against Adversaries using min-max Optimization
Rana Abou Khamis, Omair Shafiq, Ashraf Matrawy
With the growth of adversarial attacks against machine learning models, several concerns have emerged about potential vulnerabilities in designing deep neural network-based intrusi…