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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Bibliographic Details
Published in:	IEEE transactions on pattern analysis and machine intelligence Vol. 44; no. 4; pp. 2188 - 2197
Main Authors:	Chen, Sizhe, He, Zhengbao, Sun, Chengjin, Yang, Jie, Huang, Xiaolin
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.04.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
Online Access:	Get full text
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