Multi-Targeted Adversarial Example in Evasion Attack on Deep Neural Network

Deep neural networks (DNNs) are widely used for image recognition, speech recognition, pattern analysis, and intrusion detection. Recently, the adversarial example attack, in which the input data are only slightly modified, although not an issue for human interpretation, is a serious threat to a DNN...

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Autores principales:	Hyun Kwon, Yongchul Kim, Ki-Woong PARK, Hyunsoo Yoon, Daeseon Choi
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2018
Materias:	Deep neural network (DNN) evasion attack adversarial example machine learning Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/d847cd17c9f642d58113ec58df1a3762
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Multi-Targeted Adversarial Example in Evasion Attack on Deep Neural Network

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