Improving Robustness of ML Classifiers against Realizable Evasion Attacks Using Conserved Features

Liang Tong, Bo Li, Chen Hajaj +3

Machine learning (ML) techniques are increasingly common in security applications, such as malware and intrusion detection. However, ML models are often susceptible to evasion atta…