Regularizers to the rescue: fighting overfitting in deep learning-based side-channel analysis
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Regularizers to the rescue: fighting overfitting in deep learning-based side-channel analysis ; volume:14 ; number:4 ; day:7 ; month:8 ; year:2024 ; pages:609-629 ; date:11.2024
Journal of cryptographic engineering ; 14, Heft 4 (7.8.2024), 609-629, 11.2024
- Urheber
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Rezaeezade, Azade
Batina, Lejla
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s13389-024-00361-5
- URN
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urn:nbn:de:101:1-2501022109137.753842099491
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:34 MESZ
Datenpartner
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Beteiligte
- Rezaeezade, Azade
- Batina, Lejla
- SpringerLink (Online service)
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