Publishing Microdata with a Robust Privacy Guarantee
Summary: β-likeness, a robust microdata privacy model, bounds adversary confidence in sensitive values after publication. Two schemes, generalization and perturbation, meet β with low information loss, outperform k-anonymity methods, and resist attacks. (summarized by gpt-5-nano on Feb 09 2026)
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