JOS

Abstract
Journal of Official Statistics, Vol.14, No.4, 1998. pp. 385397

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Confidentiality, Uniqueness, and Disclosure Limitation for Categorical Data

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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