Journal of Official Statistics, Vol.14, No.4, 1998. pp. 385–397
Confidentiality, Uniqueness, and Disclosure Limitation for Categorical Data
Stephen E. Fienberg and Udi E. Makov
Abstract:When an agency releases data on individuals that are categorical in nature, the possible identification of those who are unique or rare in the population is a concern because identity disclosure is deemed to be a violation of promises of confidentiality. We review relationships among uniqueness in a sample, uniqueness in the population, and notions of disclosure, and then turn to methods for assessing disclosure potential as a result of sample uniqueness, especially using log-linear models.
Keywords:Contingency tables; data disclosure; imputation; loglinear models; population uniqueness; sample uniqueness; exact distribution.
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