Defense against adversarial attacks in traffic sign images identification based on 5G
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1687-1499
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Defense against adversarial attacks in traffic sign images identification based on 5G ; volume:2020 ; number:1 ; day:9 ; month:9 ; year:2020 ; pages:1-15 ; date:12.2020
EURASIP journal on wireless communications and networking / European Association for Speech, Signal and Image Processing ; 2020, Heft 1 (9.9.2020), 1-15, 12.2020
- Urheber
-
Wu, Fei
Xiao, Limin
Yang, Wenxue
Zhu, Jinbin
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s13638-020-01775-5
- URN
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urn:nbn:de:101:1-2020102918380205784214
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:29 MESZ
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Beteiligte
- Wu, Fei
- Xiao, Limin
- Yang, Wenxue
- Zhu, Jinbin
- SpringerLink (Online service)
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