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Achieving Facial De-Identification by Taking Advantage of the Latent Space of Generative Adversial Networks
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2021
Conference Paper
Titel
Achieving Facial De-Identification by Taking Advantage of the Latent Space of Generative Adversial Networks
Author(s)
Frick, Raphael Antonius
Steinebach, Martin
Hauptwerk
INFORMATIK 2021. Computer Science & Sustainability
Konferenz
Gesellschaft für Informatik (GI Jahrestagung) 2021
Language
English
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Fraunhofer-Institut für Sichere Informationstechnologie SIT