earticle

영어

AI technologies are being applied in many areas as well as in modern malware detection technologies. However, adversarial attacks to such AI-applied malware detection technologies become one of major problems as it is in computer vision with AI. There has been a lot of effort on developing adversary-robust malware detection technologies, but it remains immature yet. In this paper, we review the state-of-theart in AI-applied malware detection technologies to identify limitations and shortcomings. We also present some directions for future research enhancing robustness against adversarial attacks.