作者
Qiang Liu, Pan Li, Wentao Zhao, Wei Cai, Shui Yu, Victor C. M. Leung
发表日期
2018/2/13
期刊
IEEE Access
卷号
6
页码范围
12103-12117
出版商
IEEE
简介
Machine learning is one of the most prevailing techniques in computer science, and it has been widely applied in image processing, natural language processing, pattern recognition, cybersecurity, and other fields. Regardless of successful applications of machine learning algorithms in many scenarios, e.g., facial recognition, malware detection, automatic driving, and intrusion detection, these algorithms and corresponding training data are vulnerable to a variety of security threats, inducing a significant performance decrease. Hence, it is vital to call for further attention regarding security threats and corresponding defensive techniques of machine learning, which motivates a comprehensive survey in this paper. Until now, researchers from academia and industry have found out many security threats against a variety of learning algorithms, including naive Bayes, logistic regression, decision tree, support vector …
学术搜索中的文章
Q Liu, P Li, W Zhao, W Cai, S Yu, VCM Leung - IEEE access, 2018