Author:
Martínez Sergio,Valls Aida,Sánchez David
Publisher
Springer International Publishing
Reference36 articles.
1. Willenborg, L., de Waal, T.: Elements of Statistical Diclosure Control. Lecture Notes in Statistics, vol. 155. p. 261. Springer, New York (261)
2. Domingo-Ferrer, J.: A Survey of inference control methods for privacy-preserving data mining. In: Aggarwal, C.C., Yu, P.S. (eds.) Privacy-Preserving Data Mining, pp. 53–80. Springer, US (2008)
3. Jin, X., Zhang, N., Das, G.: ASAP: eliminating algorithm-based disclosure in privacy-preserving data publishing. Inf. Syst. 36(5), 859–880 (2011)
4. Herranz, J., et al.: Classifying data from protected statistical datasets. Comput. Secur. 29(8), 875–890 (2010)
5. Oliveira, S.R.M., Zaïane, O.R.: A privacy-preserving clustering approach toward secure and effective data analysis for business collaboration. Comput. Secur. 26(1), 81–93 (2007)
Cited by
2 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
1. Data Privacy: A Survey of Results;Studies in Computational Intelligence;2014-08-22
2. Advanced Research on Data Privacy in the ARES Project;Studies in Computational Intelligence;2014-08-22