Evaluating bias and noise induced by the US Census Bureau's privacy protection methods
The US Census Bureau faces a difficult trade-off between the accuracy of Census statistics
and the protection of individual information. We conduct an independent evaluation of bias …
and the protection of individual information. We conduct an independent evaluation of bias …
Differential privacy: general inferential limits via intervals of measures
Differential privacy (DP) is a mathematical standard for assessing the privacy provided by a
data-release mechanism. We provide formulations of pure $\epsilon $-differential privacy …
data-release mechanism. We provide formulations of pure $\epsilon $-differential privacy …
Synthetic Census Data Generation via Multidimensional Multiset Sum
The US Decennial Census provides valuable data for both research and policy purposes.
Census data are subject to a variety of disclosure avoidance techniques prior to release in …
Census data are subject to a variety of disclosure avoidance techniques prior to release in …
General Inferential Limits Under Differential and Pufferfish Privacy
Differential privacy (DP) is a class of mathematical standards for assessing the privacy
provided by a data-release mechanism. This work concerns two important flavors of DP that …
provided by a data-release mechanism. This work concerns two important flavors of DP that …