Privacy-preserving cryptographic algorithms and protocols: a survey on designs and applications

Author:

HUO Wei,YU Yu,YANG Kang,ZHENG Zhongxiang,LI Xiangxue,YAO Li,XIE Jie

Publisher

Science China Press., Co. Ltd.

Subject

Engineering (miscellaneous),General Computer Science

Reference294 articles.

1. Li F H, Li H, Jia Y, et al. Privacy computing: concept, connotation and its research trend. Journal on Communications 2016, 37(4): 1, doi: 10.11959/j.issn.1000-436x.2016078.

2. McMahan B, Moore E, Ramage D, et al. Communication-efficient learning of deep networks from decentralized data. In: Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017. 1273--1282.

3. Yang Q, Liu Y, Chen T. Federated Machine Learning. ACM Trans Intell Syst Technol, 2019, 10: 1-19.

4. Dwork C. Differential privacy. In: Encyclopedia of Cryptography and Security. Berlin: Springer, 2006. 1--12.

5. Dwork C, Roth A. The Algorithmic Foundations of Differential Privacy. FNT Theor Comput Sci, 2014, 9: 211-407.

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