Hochschulschrift
Robustness analysis of deep neural networks in the presence of adversarial perturbations and noisy labels
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
In: Aachen : Apprimus, 2019 (Elektro- und Informationstechnik)
RWTH Aachen University, Dissertation, 2019
- Schlagwort
-
Neuronales Netz
Deep learning
Robustheit
Störgeräusch
- Ereignis
-
Veröffentlichung
- (wo)
-
Aachen
- (wer)
-
Universitätsbibliothek der RWTH Aachen
- (wann)
-
2019
- Urheber
- Beteiligte Personen und Organisationen
- DOI
-
10.18154/RWTH-2020-00698
- URN
-
urn:nbn:de:101:1-2020081706551933469054
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:41 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Objekttyp
- Hochschulschrift
Beteiligte
- Balda Cañizares, Emilio Rafael
- Mathar, Rudolf
- Leibe, Bastian
- Universitätsbibliothek der RWTH Aachen
Entstanden
- 2019
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