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SI-19(06) Differential Privacy

NIST SP 800-53 (controls) 5.1.1+u4
All changes in this version
first version loaded SI part of SI-19

Title

Differential Privacy

Control

Prevent disclosure of personally identifiable information by adding non-deterministic noise to the results of mathematical operations before the results are reported.

Discussion

The mathematical definition for differential privacy holds that the result of a dataset analysis should be approximately the same before and after the addition or removal of a single data record (which is assumed to be the data from a single individual). In its most basic form, differential privacy applies only to online query systems. However, it can also be used to produce machine-learning statistical classifiers and synthetic data. Differential privacy comes at the cost of decreased accuracy of results, forcing organizations to quantify the trade-off between privacy protection and the overall accuracy, usefulness, and utility of the de-identified dataset. Non-deterministic noise can include adding small, random values to the results of mathematical operations in dataset analysis.

Related controls

sc-12, sc-13

Assessment objective

SI-19(06) the disclosure of personally identifiable information is prevented by adding non-deterministic noise to the results of mathematical operations before the results are reported.

STIG rules that implement this control 0

No followed STIG rule cites a CCI indexed to this control (CCI list 2026-07-14).