Robustness to adversarial examples can be improved with overfitting

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
1868-808X
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
Robustness to adversarial examples can be improved with overfitting ; volume:11 ; number:4 ; day:26 ; month:2 ; year:2020 ; pages:935-944 ; date:4.2020
International journal of machine learning and cybernetics ; 11, Heft 4 (26.2.2020), 935-944, 4.2020

Creator
Déniz, Oscar
Pedraza, Anibal
Vallez, Noelia
Salido, Jesus
Bueno, Gloria
Contributor
SpringerLink (Online service)

DOI
10.1007/s13042-020-01097-4
URN
urn:nbn:de:101:1-2020052704014975591941
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:56 AM CEST

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Associated

  • Déniz, Oscar
  • Pedraza, Anibal
  • Vallez, Noelia
  • Salido, Jesus
  • Bueno, Gloria
  • SpringerLink (Online service)

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