Generating End-to-End Adversarial Examples for Malware Classifiers Using Explainability

Ishai Rosenberg, Shai Meir, Jonathan Berrebi +3

In recent years, the topic of explainable machine learning (ML) has been extensively researched. Up until now, this research focused on regular ML users use-cases such as debugging…