sensitivity_sum

For sum queries with bounded data, the sensitivity is the maximum change in the sum
when one record is substituted (changed from any value to any other value in the range).
This uses the standard substitution model for differential privacy.

internal

A tidy-style interface for applying differential privacy to data frames.
Provides pipe-friendly functions to add calibrated noise, compute private statistics,
and track privacy budgets using the epsilon-delta differential privacy framework.
Implements the Laplace mechanism (Dwork et al. 2006 <doi:10.1007/11681878_14>) and
the Gaussian mechanism for achieving differential privacy as described in Dwork and
Roth (2014) <doi:10.1561/0400000042>.

Thomas Tarler

tidydp

Tidy Differential Privacy

sensitivity_sum function

<dl><dt>lower</dt>
<dd>Lower bound of the data range</dd>
<dt>upper</dt>
<dd>Upper bound of the data range</dd></dl>

Arguments

Calculate L1 Sensitivity for Sum Queries — sensitivity_sum

<dl>

<dt>lower</dt>
<dd>Lower bound of the data range</dd>


<dt>upper</dt>
<dd>Upper bound of the data range</dd>

</dl>

sensitivity_sum: Calculate L1 Sensitivity for Sum Queries

Description

Usage

Value

Arguments