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Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain
Jinyu Tian1; Jiantao Zhou1; Yuanman Li2; Jia Duan1
2021-05
Conference Name35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence
Source PublicationProceedings of the AAAI Conference on Artificial Intelligence 2021
Volume35
Issue11B
Pages9877-9885
Conference DateFebruary 2–9, 2021
Conference PlacePalo Alto, California USA
CountryUSA
PublisherAssociation for the Advancement of Artificial Intelligence
DOI10.48550/arXiv.2103.04302
URLView the original
Indexed ByCPCI-S
WOS Research AreaComputer Science ; Education & Educational Research
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications ; Education, Scientific Disciplines
WOS IDWOS:000681269801062
Scopus ID2-s2.0-85121222351
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Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Faculty of Science and Technology
THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorJiantao Zhou
Affiliation1.State Key Laboratory of Internet of Things for Smart City, Department of Computer and Information Science, University of Macau, Macao
2.Guangdong Key Laboratory of Intelligent Information Processing, College of Electronics and Information Engineering, Shenzhen University, China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Jinyu Tian,Jiantao Zhou,Yuanman Li,et al. Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain[C]:Association for the Advancement of Artificial Intelligence, 2021, 9877-9885.
APA Jinyu Tian., Jiantao Zhou., Yuanman Li., & Jia Duan (2021). Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain. Proceedings of the AAAI Conference on Artificial Intelligence 2021, 35(11B), 9877-9885.
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