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

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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Auteurs principaux: Hyun Kwon, Yongchul Kim, Ki-Woong PARK, Hyunsoo Yoon, Daeseon Choi
Format: article
Langue:EN
Publié: IEEE 2018
Sujets:
Deep neural network (DNN)
evasion attack
adversarial example
machine learning
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Accès en ligne:https://doaj.org/article/d847cd17c9f642d58113ec58df1a3762
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