print.privacy_budget

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

print.privacy_budget function

<dl><dt>x</dt>
<dd>A privacy budget object</dd>
<dt>...</dt>
<dd>Additional arguments (unused)</dd></dl>

Arguments

Print Privacy Budget — print.privacy_budget

<dl>

<dt>x</dt>
<dd>A privacy budget object</dd>


<dt>...</dt>
<dd>Additional arguments (unused)</dd>

</dl>

print.privacy_budget: Print Privacy Budget

Description

Usage

Value

Arguments