Design on Face Recognition System with Privacy Preservation Based on Homomorphic Encryption

Author:

Yang YataoORCID,Zhang Qilin,Gao Wenbin,Fan Chenghao,Shu Qinyuan,Yun Hang

Funder

China State Cryptography Development Fund of Thirteen Five-year

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Reference33 articles.

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2. Gentry, C. (2009). Fully homomorphic encryption using ideal lattices[C]. Proceedings of the forty-first annual ACM symposium on Theory of computing, 1, 169–178.

3. Smart, N. P., & Vercauteren, F. (2010). Fully homomorphic encryption with relatively small key and ciphertext sizes[C], 420–443. Springer, Berlin, Heidelberg: International Workshop on Public Key Cryptography.

4. Van Dijk, M., Gentry, C., & Halevi, S., et al. (2010). Fully homomorphic encryption over the integers[C], 24-43,Annual International Conference on the Theory and Applications of Cryptographic Techniques, Springer, Berlin, Heidelberg

5. Sun, Y., Chen, Y., & Wang, X., et al. (2014). Deep learning face representation by joint identification-verification[C]. Advances in neural information processing systems, , 1988–1996

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