Security-control methods for statistical databases: a comparative study
ACM Computing Surveys (CSUR)
Advances in Inference Control in Statistical Databases: An Overview
Inference Control in Statistical Databases, From Theory to Practice
Disclosure analysis for two-way contingency tables
PSD'06 Proceedings of the 2006 CENEX-SDC project international conference on Privacy in Statistical Databases
Privacy disclosure analysis and control for 2D contingency tables containing inaccurate data
PSD'10 Proceedings of the 2010 international conference on Privacy in statistical databases
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Two-dimensional contingency tables are central products of many information organizations such as statistical agencies, census bureaus, and health insurance information agencies. In a contingency table, any sensitive information about individuals must be protected, while some aggregated information can be released. The disclosure risk is that the aggregated information can be used to infer some sensitive information about individuals. Since the disclosure of sensitive information may compromise privacy, confidentiality, and national interests, one needs to carefully assess the latent risk of disclosure and take effective methods to protect the data.