Non-Cryptographic Privacy Preserving Machine Learning Methods: A Review

Author:

Şahinbaş Kevser,Catak Ferhat Ozgur,Kuzlu Murat,Tabassum Maliha,Sarp Salih

Publisher

Springer Nature Switzerland

Reference57 articles.

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3. Dwork, C., Roth, A., et al.: The algorithmic foundations of differential privacy. Found. Trends Theor. Comput. Sci. 9(3–4), 211–407 (2014)

4. Chase, M., Gilad-Bachrach, R., Laine, K., Lauter, K., Rindal, P.: Private collaborative neural network learning. Cryptology ePrint Archive (2017)

5. Kotsogiannis, I., Doudalis, S., Haney, S., Machanavajjhala, A., Mehrotra, S.: One-sided differential privacy. In: 2020 IEEE 36th International Conference on Data Engineering (ICDE), pp. 493–504. IEEE (2020)

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