Cheap and Fast Iterative Matrix Inverse in Encrypted Domain

Author:

Ahn Tae Min,Lee Kang Hoon,Yoo Joon Soo,Yoon Ji Won

Publisher

Springer Nature Switzerland

Reference18 articles.

1. Lecture Notes in Computer Science;JH Cheon,2017

2. Al Badawi, A., et al.: OpenFHE: open-source fully homomorphic encryption library. In: Proceedings of the 10th Workshop on Encrypted Computing & Applied Homomorphic Cryptography, pp. 53–63 (2022)

3. Kim, A., Song, Y., Kim, M., Lee, K., Cheon, J.H.: Logistic regression model training based on the approximate homomorphic encryption. BMC Med. Genomics 11(4), 23–31 (2018)

4. Sun, X., Zhang, P., Liu, J.K., Yu, J., Xie, W.: Private machine learning classification based on fully homomorphic encryption. IEEE Trans. Emerg. Top. Comput. 8(2), 352–364 (2018)

5. Wood, A., Najarian, K., Kahrobaei, D.: Homomorphic encryption for machine learning in medicine and bioinformatics. ACM Comput. Surv. (CSUR) 53(4), 1–35 (2020)

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