Adversarial malware sample generation method based on the prototype of deep learning detector

Yanchen Qiao, Weizhe Zhang, Zhicheng Tian, Laurence T. Yang, Yang Liu, Mamoun Alazab

Abstract: Highlights•Present a novel approach for generating adversarial malware based on prototype of the malware detection model.•Explore the interpretability of deep learning based malware detection model.•Propose an approach for generating binary prototypes of malware detection models.•Introduce the intermediate samples to the process of generating adversarial malware.