Ally patches for spoliation of adversarial patches

Adversarial attacks represent a serious evolving threat to the operation of deep neural networks. Recently, adversarial algorithms were developed to facilitate hallucination of deep neural networks for ordinary attackers. State-of-the-arts algorithms could generate offline printable adversarial patc...

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Vydáno v:	Journal of big data Ročník 6; číslo 1; s. 1 - 14
Hlavní autor:	Abdel-Hakim, Alaa E.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 07.06.2019 Springer Nature B.V SpringerOpen
Témata:	Advanced Soft Computing Methodologies and Applications in Social Media Big Data Analytics Adversarial patches Algorithms Ally patches Artificial neural networks Big Data Cameras Classification CNN Communications Engineering Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Database Management Deep neural networks Experimentation Experiments Information Storage and Retrieval Knowledge management Mathematical Applications in Computer Science Networks Neural networks Patches (structures) Salience Adversarial patches CNN Deep neural networks Ally patches
ISSN:	2196-1115, 2196-1115
On-line přístup:	Získat plný text
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