Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet

Adversarial attacks on deep neural networks (DNNs) have been found for several years. However, the existing adversarial attacks have high success rates only when the information of the victim DNN is well-known or could be estimated by the structure similarity or massive queries. In this paper, we pr...

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Vydáno v:	IEEE transactions on pattern analysis and machine intelligence Ročník 44; číslo 4; s. 2188 - 2197
Hlavní autoři:	Chen, Sizhe, He, Zhengbao, Sun, Chengjin, Yang, Jie, Huang, Xiaolin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.04.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Adversarial attack Algorithms Artificial neural networks Attention Benchmarking black-box attack DAmageNet Datasets Error analysis Heating systems Neural networks Neural Networks, Computer Perturbation methods Semantics Training transferability Visualization
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
On-line přístup:	Získat plný text
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