A Survey on Security Threats and Defensive Techniques of Machine Learning: A Data Driven View

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...

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Veröffentlicht in:	IEEE access Jg. 6; S. 12103 - 12117
Hauptverfasser:	Liu, Qiang, Li, Pan, Zhao, Wentao, Cai, Wei, Yu, Shui, Leung, Victor C. M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.01.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	adversarial samples Algorithms Artificial neural networks Clustering Cybersecurity Decision analysis Decision trees defensive techniques Face recognition Image processing Machine learning Machine learning algorithms Malware Natural language processing Object recognition Pattern recognition Principal components analysis Regression analysis Security security threats Support vector machines Taxonomy Testing Training Training data
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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