Protection against Adversarial Attacks on Malware Detectors Using Machine Learning Algorithms
I. I. Marshev, E. V. Zhukovskii, Elena B. Aleksandrova · Automatic Control and Computer Sciences · 2021
Abstract— The resistance of machine learning models, applied in malware detection tools, against adversarial attacks was analyzed. An adversarial attack on these tools was developed and a method to increase resistance of malware detection tools, based on using convolutional neural networks for representation of assembler code of the program, was proposed.