Publisher
Springer International Publishing
Reference19 articles.
1. Albrecht, M.R., Player, R., Scott, S.: On the concrete hardness of learning with errors. J. Math. Cryptol. 9(3), 169–203 (2015)
2. Lecture Notes in Computer Science;J-C Bajard,2017
3. Boemer, F., Lao, Y., Wierzynski, C.: nGraph-HE: a graph compiler for deep learning on homomorphically encrypted data. arXiv preprint
arXiv:1810.10121
(2018)
4. Carpov, S., Gama, N., Georgieva, M., Troncoso-Pastoriza, J.R.: Privacy-preserving semi-parallel logistic regression training with Fully Homomorphic Encryption. Cryptology ePrint Archive, Report 2019/101 (2019).
https://eprint.iacr.org/2019/101
5. Lecture Notes in Computer Science;H Chen,2019
Cited by
93 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献