Author:
Shang Tao,Zhao Zheng,Guan Zhenyu,Liu Jianwei
Publisher
Springer International Publishing
Reference8 articles.
1. Hua, Y.: Understanding big data processing and programming. China Machine Press (2014)
2. Dwork, C.: Differential privacy. In: Proceedings of the 33rd International Colloquium on Automata, Languages and Programming, pp. 338–340. Springer, Berlin (2006)
3. Blum, A., Dwork, C., Mcsherry, F., et al.: Practical privacy: the SuLQ framework. In: Proceedings of the Twenty-Fourth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, pp. 128–138 (2005)
4. Nissim, K., Raskhodnikova, S., Smith, A.: Smooth sensitivity and sampling in private data analysis. In: Proceedings of the Thirty-Ninth Annual ACM Symposium on Theory of Computing, pp. 75–84. ACM (2007)
5. Li, Y., Hao, Z., Wen, W., Xie, G.: Research on differential privacy preserving K-means clustering. Comput. Sci. 40(3), 287–290 (2013)
Cited by
6 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