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eNauka >  Results >  The Vulnerability of Learning to Adversarial Perturbation Increases with Intrinsic Dimensionality
Title: The Vulnerability of Learning to Adversarial Perturbation Increases with Intrinsic Dimensionality
Authors: Laurent Amsaleg; James Bailey; Sarah Erfani; Teddy Furon; Michael E. Houle; Radovanović, Miloš  ; Nguyen Xuan Vinh
Issue Date: 2017
Publication: Proceedings of the 9th IEEE Workshop on Information Forensics and Security (WIFS), 9th IEEE Workshop on Information Forensics and Security (WIFS), Rennes, France, 2017
Type: Conference Paper
WoS-ID: 000426121000011
URI: https://www.cris.uns.ac.rs/record.jsf?recordId=105420&source=eNauka&language=en
https://enauka.gov.rs/handle/123456789/320136
URL: http://www.nii.ac.jp/TechReports/public_html/16-005E.pdf
Metadata source: Migracija
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