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	RGN-Defense: erasing adversarial perturbations using deep residual generative network
	Fan, Weiqi[1]; Sun, Guangling[2]; Deng, Xiaobao[3]
刊名	JOURNAL OF ELECTRONIC IMAGING
	2019
卷号	28
关键词	deep residual generative network adversarial examples joint loss auxiliary network
ISSN号	1017-9909
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2162183
专题	上海大学
作者单位	1.[1]Shanghai Univ, Sch Commun & Informat Engn, Shanghai, Peoples R China. 2.[2]Shanghai Univ, Sch Commun & Informat Engn, Shanghai, Peoples R China. 3.[3]Shanghai Univ, Sch Commun & Informat Engn, Shanghai, Peoples R China.
推荐引用方式 GB/T 7714	Fan, Weiqi[1],Sun, Guangling[2],Deng, Xiaobao[3]. RGN-Defense: erasing adversarial perturbations using deep residual generative network[J]. JOURNAL OF ELECTRONIC IMAGING,2019,28.
APA	Fan, Weiqi[1],Sun, Guangling[2],&Deng, Xiaobao[3].(2019).RGN-Defense: erasing adversarial perturbations using deep residual generative network.JOURNAL OF ELECTRONIC IMAGING,28.
MLA	Fan, Weiqi[1],et al."RGN-Defense: erasing adversarial perturbations using deep residual generative network".JOURNAL OF ELECTRONIC IMAGING 28(2019).

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