Spatial-Frequency Discriminability for Revealing Adversarial Perturbations
Spatial-Frequency Discriminability for Revealing Adversarial Perturbations
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Author / Creator
Wang, Chao , Shuren Qi , Huang, Zhiqiu , Zhang, Yushu , Rushi Lan , Cao, Xiaochun and Feng-Lei, Fan
Publisher
Ithaca: Cornell University Library, arXiv.org
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Language
English
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Publisher
Ithaca: Cornell University Library, arXiv.org
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Contents
The vulnerability of deep neural networks to adversarial perturbations has been widely perceived in the computer vision community. From a security perspective, it poses a critical risk for modern vision systems, e.g., the popular Deep Learning as a Service (DLaaS) frameworks. For protecting deep models while not modifying them, current algorithms t...
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Full title
Spatial-Frequency Discriminability for Revealing Adversarial Perturbations
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Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2815837079
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2815837079
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.2305.10856
