"Contributions to data confidentiality in machine learning by means of ..."

Martin Zuber (2020)

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type: Book or Thesis

metadata version: 2021-02-02

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Martin Zuber:
Contributions to data confidentiality in machine learning by means of homomorphic encryption. (Confidentialité des données de l'apprentissage machine par chiffrement homomorphe). University of Paris-Saclay, France, 2020

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