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Adversarial Example Defense Model Based on U-Net

Adversarial attack refers to adding a small disturbance to the image to make the deep neural network output the wrong classification with high confidence.An adversarial sample defense model named SE-ResU-Net is proposed, based on the image semantic segmentation network U-Net architecture, the residu...

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Autore principale: LAI Yanling, SHI Junfeng, CHEN Jixin, BAI Hanli, TANG Xiaolan, DENG Biying, ZHENG Desheng
Natura: Artigo
Lingua:Inglês
Pubblicazione: Editorial Office of Computer Engineering 2021-12-01
Serie:Jisuanji gongcheng
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Accesso online:https://www.ecice06.com/fileup/1000-3428/PDF/20211220.pdf
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