Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors

Dongqi Han, Zhiliang Wang, Ying Zhong +5

Machine learning (ML), especially deep learning (DL) techniques have been increasingly used in anomaly-based network intrusion detection systems (NIDS). However, ML/DL has shown to…