dpMeanPostProcess: Post-processing on differentially private mean, called within...

In IQSS/PSI-Library: Differentially Private Statistical Releases for Privacy Preservation

Description

Post-processing on differentially private mean, called within the .self$mechanism$evaluate function, which in turn is called within dpMean$release.

Arguments

out

Input dataframe that describes the differentially private release that was created in .self$mechanism$evaluate. This dataframe will have at least one pre-existing attribute, out$release, which is a numeric value of length one that is the differentially private mean. This function is able to calculate a confidence interval on the output. If the variable was logical, standard deviation, median, and a histogram may be additionally computed as post-processing steps. Additionally, known portions of the input such as the variable name and the epsilon value may be appended with no extra privacy loss.

Value

Dataframe out, updated to include post-processed values.

IQSS/PSI-Library documentation built on Feb. 15, 2020, 9:03 p.m.