- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2510-523X
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
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
- Urheber
-
Lin, Jing
Njilla, Laurent L.
Xiong, Kaiqi
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s13635-021-00125-2
- URN
-
urn:nbn:de:101:1-2022042620520812072513
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:34 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Lin, Jing
- Njilla, Laurent L.
- Xiong, Kaiqi
- SpringerLink (Online service)
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