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	Markov Chain Based Efficient Defense Against Adversarial Examples in Computer Vision
	Yue Zhou; Xiaofang Hu; Lidan Wang; Shukai Duan; Yiran Chen
刊名	IEEE Access
	2019
卷号	Vol.7页码:5695-5706
关键词	Markov processes Machine learning Computer vision Perturbation methods Security Image recognition Probability Machine learning adversarial examples defense method Markov chain
ISSN号	2169-3536
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4602285
专题	湖南大学
作者单位	1.College of Electronic and Information Engineering, Southwest University, Chongqing, China 2.Brain-Inspired Computing and Intelligent Control of Chongqing Key Laboratory, Chongqing, China 3.Department of Electrical and Computer Engineering, Duke University, Durham, CO, USA
推荐引用方式 GB/T 7714	Yue Zhou,Xiaofang Hu,Lidan Wang,et al. Markov Chain Based Efficient Defense Against Adversarial Examples in Computer Vision[J]. IEEE Access,2019,Vol.7:5695-5706.
APA	Yue Zhou,Xiaofang Hu,Lidan Wang,Shukai Duan,&Yiran Chen.(2019).Markov Chain Based Efficient Defense Against Adversarial Examples in Computer Vision.IEEE Access,Vol.7,5695-5706.
MLA	Yue Zhou,et al."Markov Chain Based Efficient Defense Against Adversarial Examples in Computer Vision".IEEE Access Vol.7(2019):5695-5706.

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