@inproceedings{044342962b27408995086c417f65092c,
title = "When Machine Learning meets Security Issues: A survey",
abstract = "Machine learning is one of the most prevalent techniques in recent decades which has been widely applied in various fields. Among them, the applications that detect and defend potential adversarial attacks using machine learning method provide promising solutions in cybersecurity. At the same time, machine learning algorithms and systems are vulnerable to multiple security threats. In this paper, we revisit certain literatures and present a comprehensive survey from two respects, application of machine learning on cybersecurity and reliability and security of machine learning system. We then overview security issues of mobile AI devices and propose two notable focus, which are worthy in-depth studies in future. Researchers can regard this survey as a navigating reference in both machine learning and cybersecurity fields.",
keywords = "Cybersecurity, Defense, Machine learning, Threats",
author = "Zhenyu Guan and Liangxu Bian and Tao Shang and Jianwei Liu",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International Conference on Intelligence and Safety for Robotics, ISR 2018 ; Conference date: 24-08-2018 Through 27-08-2018",
year = "2018",
month = nov,
day = "14",
doi = "10.1109/IISR.2018.8535799",
language = "英语",
series = "2018 International Conference on Intelligence and Safety for Robotics, ISR 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "158--165",
booktitle = "2018 International Conference on Intelligence and Safety for Robotics, ISR 2018",
address = "美国",
}