A probabilistic approach for disclosure risk assessment in statistical databases
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Social Sciences,Statistics and Probability
Link
http://link.springer.com/content/pdf/10.1007/s11135-015-0173-5.pdf
Reference26 articles.
1. Adam, N.R., Worthmann, J.C.: Security-control methods for statistical databases: a comparative study. ACM Comput. Surv. (CSUR) 21, 515–556 (1989)
2. Arcos, A., Rueda, Md., Singh, S.: A generalized approach to randomised response for quantitative variables. Qual. Quant. pp 1–18 (2014)
3. Canfora, G., Cavallo, B.: A bayesian approach for on-line max and min auditing. In: Proocedings of International workshop on Privacy and Anonymity in Information Society (PAIS), ACM DL, pp 12–20 (2008a)
4. Canfora, G., Cavallo, B.: A bayesian approach for on-line max auditing. In: Proocedings of The Third International Conference on Availability, Reliability and Security (ARES), IEEE Computer Society Press, pp 1020–1027 (2008b)
5. Canfora, G., Cavallo, B.: Reasoning under uncertainty in on-line auditing. Privacy in Statistical Databases, Lecture Notes in Computer Science, pp. 257–269. Springer, Berlin Heidelberg (2008c)
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