Contributions to data confidentiality in machine learning by means of homomorphic encryption. (Confidentialité des données de l'apprentissage machine par chiffrement homomorphe) - researchr publication

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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). PhD thesis, University of Paris-Saclay, France, 2020. [doi]

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