Exploring the Effect of DNN Depth on Adversarial Attacks in Network Intrusion Detection Systems

Mohamed ElShehaby, Ashraf Matrawy

Adversarial attacks pose significant challenges to Machine Learning (ML) systems and especially Deep Neural Networks (DNNs) by subtly manipulating inputs to induce incorrect predic…