Measuring Disclosure Risk with Entropy in Population Based Frequency Tables

Author:

Antal Laszlo,Shlomo Natalie,Elliot Mark

Publisher

Springer International Publishing

Reference8 articles.

1. Antal, L., Shlomo, N., Elliot, M.: Measuring Disclosure Risk and Information Loss in Population Based Frequency Tables, http://www.ccsr.ac.uk/publications/Measuring_Disclosure_Risk

2. Cover, T.M., Thomas, J.A.: Elements of Information Theory, 2nd edn. Wiley, Hoboken (2006)

3. Domingo-Ferrer, J., Oganian, A., Torra, V.: Information-Theoretic Disclosure Risk Measures in Statistical Disclosure Control of Tabular Data. In: Proceedings of the 14th International Conference on Scientific and Statistical Database Management, Washington, pp. 227–231 (2002)

4. Duncan, G., Keller-McNulty, S., Stokes, S.: Disclosure Risk vs. Data Utility: the R-U Confidentiality Map. Technical Report LA-UR-01-6428, Statistical Sciences Group. Los Alamos National Laboratory, Los Alamos, N.M (2001)

5. Oganian, A., Domingo-Ferrer, J.: A Posteriori Disclosure Risk Measure for Tabular Data Based on Conditional Entropy. SORT-Statistics and Operations Research Transactions 27, 175–190 (2003)

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