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Deep neural networks (DNNs) have various applications owing to their feature learning ability. However, recent studies have shown that DNNs are vulnerable to adversarial examples. Currently, research on the generation of adversarial examples primaril
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92d1f29bc37ef62ab70270080c794565
Publikováno v:
Computers & Security. 96:101916
The success of deep learning is greatly attributed to its representation capability especially in computer vision tasks. However, recent studies have shown that deep neural networks (DNNs) are often vulnerable to adversarial attacks. To determine the