Abdullah Khan

Latent-space feature squeezing for adversarially robust intrusion detection on IoT edge devices

Machine learning-based intrusion detection systems (IDS) for Internet of Things (IoT) environments are vulnerable to adversarial perturbations that can cause malicious traffic to be misclassified as benign. Existing defences, such as adversarial training and feature squeezing, are typically applied independently an...