presentation - VirtualRDC @ Cornell - Cornell University

Conclusion
■ First large-scale implementation of confidentiality protection
by noise-infusion
✦ absence of table-level or complementary suppressions,
despite significant number of count item suppressions
✦ All ratios and magnitudes are released without
suppression
■ High-quality data:
✦ remarkable consistency in the serial correlation
coefficients between the undistorted and the distorted
data series at highly detailed levels
✦ little or no bias in induced on average by the confidentiality
protection mechanism
✦ distributions of bias are tightly centered around the modal
bias of zero
✦ properties of the raw data distortion can be used to
correct inferences from statistical models
August 10, 2005 - p. 30/31