# Distortion Metrics

# Introduction

Any privacy treatments on a Dataset inherently remove information from the Source data. However, the specifics of the treatments have a major impact on the utility of the treated data. The Privacy Dynamics anonymizer uses a proprietary process that is designed to minimize the distortion of treated data and therefore maximize utility while achieving privacy targets.

We use Distortion as a proxy for utility. After each treatment, we measure the Distortion of the treated data, and include Distortion metrics on the Dataset Report.

# Metric Definitions

  • Rows Treated: A row is considered "treated" if any field on that row was changed
  • Cells Treated: The overall share of cells (instances of a field on a record) that were changed
  • Distribution of Values: The profile of the values in the selected field, before and after treatment
Last Updated: 4/29/2022, 3:14:26 PM
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