noise threshold constructor — make_noise_threshold • R Documentation

Make a Measurement that uses propose-test-release to privatize a hashmap of counts.

Usage

make_noise_threshold(
  input_domain,
  input_metric,
  output_measure,
  scale,
  threshold,
  k = NULL
)

Arguments

input_domain: Domain of the input.
input_metric: Metric for the input domain.
output_measure: Privacy measure. Either MaxDivergence or ZeroConcentratedDivergence.
scale: Noise scale parameter for the laplace distribution. scale == standard_deviation / sqrt(2).
threshold: Exclude counts that are less than this minimum value.
k: The noise granularity in terms of 2^k.

Value

Measurement

Details

This function takes a noise granularity in terms of 2^k. Larger granularities are more computationally efficient, but have a looser privacy map. If k is not set, k defaults to the smallest granularity.

Required features: contrib

make_noise_threshold in Rust documentation.

Supporting Elements:

Input Domain: DI
Output Type: MI
Input Metric: Approximate<MO>
Output Measure: DI::Carrier