• Media type: E-Book; Thesis
  • Title: Improved usability of differential privacy in machine learning : techniques for quantifying the privacy-accuracy trade-off
  • Contributor: Bernau, Daniel [Author]; Küsters, Ralf [Degree supervisor]
  • Published: Stuttgart, 2022
  • Extent: 1 Online-Ressource (162 Seiten); Illustrationen, Diagramme
  • Language: English
  • DOI: 10.18419/opus-12490
  • Identifier:
  • Keywords: Hochschulschrift
  • Origination:
  • University thesis: Dissertation, Universität Stuttgart, 2022
  • Footnote:
  • Access State: Open Access