Purifying Approximate Differential Privacy with Randomized Post-processing

TL;DR

We propose a framework to convert $(\varepsilon, \delta)$-approximate Differential Privacy (DP) mechanisms into $(\varepsilon', 0)$-pure DP mechanisms under certain conditions, a process we call ``pur…

Opening excerpt from the authors’ abstract. source