- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2510-523X
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Secure machine learning against adversarial samples at test time ; volume:2022 ; number:1 ; day:12 ; month:1 ; year:2022 ; pages:1-15 ; date:12.2022
EURASIP journal on information security ; 2022, Heft 1 (12.1.2022), 1-15, 12.2022
- Creator
-
Lin, Jing
Njilla, Laurent L.
Xiong, Kaiqi
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s13635-021-00125-2
- URN
-
urn:nbn:de:101:1-2022042620520812072513
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:34 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Lin, Jing
- Njilla, Laurent L.
- Xiong, Kaiqi
- SpringerLink (Online service)
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