Secure and Non-interactive k-NN Classifier Using Symmetric Fully Homomorphic Encryption-Reference-Cited by-同舟云学术

Secure and Non-interactive k-NN Classifier Using Symmetric Fully Homomorphic Encryption

Published:2022 Issue: Volume: Page:142-154
ISSN:0302-9743
Container-title:Privacy in Statistical Databases
language:
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Author:

Ameur Yulliwas^ORCID,Aziz Rezak^ORCID,Audigier Vincent^ORCID,Bouzefrane Samia^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-13945-1_11

Reference16 articles.

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3. Brutzkus, A., Elisha, O., Gilad-Bachrach, R.: Low latency privacy preserving inference. ArXiv, abs/1812.10659 (2019)

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5. Chabanne, H., de Wargny, A., Milgram, J., Morel, C., Prouff, E.: Privacy-preserving classification on deep neural network. IACR Cryptology ePrint Archive 2017/35 (2017)

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