On the Security of Noise Addition for Privacy in Statistical Databases

Author:

Domingo-Ferrer Josep,Sebé Francesc,Castellà-Roca Jordi

Publisher

Springer Berlin Heidelberg

Reference16 articles.

1. Agrawal, R., Srikant, R.: Privacy preserving data mining. In: Proceedings of the ACM SIGMOD, pp. 439–450 (2000)

2. Agrawal, D., Aggarwal, C.C.: On the design and quantification of privacy preserving data mining algorithms. In: Proceedings of the 20th Symposium on Principles of Database Systems, Santa Barbara, California, USA (May 2001)

3. Lecture Notes in Computer Science;R. Brand,2002

4. Brand, R.: Tests of the applicability of Sullivan’s algorithm to synthetic data and real business data in official statistics. Deliverable 1.1-D1, project IST-2000-25069 CASC, August 28(2002), http://neon.vb.cbs.nl/casc

5. Domingo-Ferrer, J., Torra, V.: Disclosure protection methods and information loss for microdata. In: Doyle, P., Lane, J., Theeuwes, J., Zayatz, L. (eds.) Confidentiality, Disclosure and Data Access: Theory and Practical Applications for Statistical Agencies, pp. 91–110. North-Holland, Amsterdam (2001)

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