new_privacy_budget

Initializes a privacy budget tracker for managing epsilon and delta across multiple
differentially private operations. The budget uses composition theorems to track
cumulative privacy loss.

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

new_privacy_budget function

<dl><dt>epsilon_total</dt>
<dd>Total epsilon budget available</dd>
<dt>delta_total</dt>
<dd>Total delta budget available (default: 1e-5)</dd>
<dt>composition</dt>
<dd>Method for budget composition: "basic" or "advanced" (default: "basic")</dd></dl>

Arguments

Create a New Privacy Budget — new_privacy_budget

<dl>

<dt>epsilon_total</dt>
<dd>Total epsilon budget available</dd>


<dt>delta_total</dt>
<dd>Total delta budget available (default: 1e-5)</dd>


<dt>composition</dt>
<dd>Method for budget composition: "basic" or "advanced" (default: "basic")</dd>

</dl>

new_privacy_budget: Create a New Privacy Budget

Description

Usage

Value

Arguments

Examples