Explainable and Transferable Adversarial Attack for ML-Based Network Intrusion Detectors

Hangsheng Zhang, Dongqi Han, Yinlong Liu +5

espite being widely used in network intrusion detection systems (NIDSs), machine learning (ML) has proven to be highly vulnerable to adversarial attacks. White-box and black-box ad…