Author:
Shang Tao,Zhao Zheng,Ren Xujie,Liu Jianwei
Publisher
Springer Science and Business Media LLC
Reference37 articles.
1. Mendes R, Vilela J P. Privacy-preserving data mining: methods, metrics, and applications. IEEE Access, 2017, 5: 10562–10582
2. Yu S. Big privacy: challenges and opportunities of privacy study in the age of big data. IEEE Access, 2016, 4: 2751–2763
3. Dinur I, Nissim K. Revealing information while preserving privacy. In: Proceedings of ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, San Diego, 2003. 202–210
4. Dwork C, Nissim K. Privacy-preserving datamining on vertically partitioned databases. In: Advances in Cryptology - CRYPTO 2004. Berlin: Springer, 2004. 528–544
5. Blum A, Dwork C, McSherry F, et al. Practical privacy: the SuLQ framework. In: Proceedings of ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, Baltimore, 2005. 128–138
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