sensitivity_count

<p>For count queries, the sensitivity is 1 (adding/removing one record changes count by 1)</p>

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

sensitivity_count: Calculate L1 Sensitivity for Count Queries

Description

Usage

Arguments

Value