From eb055b52aa4122bdb590478f6511ed5aab3feab8 Mon Sep 17 00:00:00 2001 From: Manos Date: Mon, 11 Oct 2021 11:07:40 +0200 Subject: [PATCH] evaluation: Added summary --- text/evaluation/summary.tex | 8 ++++++++ 1 file changed, 8 insertions(+) create mode 100644 text/evaluation/summary.tex diff --git a/text/evaluation/summary.tex b/text/evaluation/summary.tex new file mode 100644 index 0000000..4d65264 --- /dev/null +++ b/text/evaluation/summary.tex @@ -0,0 +1,8 @@ +\section{Evaluation} +\label{sec:eval-sum} + +In this chapter we presented the experimental evaluation of the {\thething} privacy mechanisms and privacy-preserving {\thething} selection mechanism, that we developed in chapter~\ref{ch:lmdk-prv}, on real and synthetic data sets. +The Adaptive mechanism is the most reliable and best performing mechanism, in terms of overall data utility, with minimal tuning across most cases. +Skip performs optimally in data sets with a lower value range where approximation fits best. +The {\thething} selection component introduces a reasonable data utility decline to all of our mechanisms however, the Adaptive handles it well and bounds the data utility to higher levels compared to user-level protection. +In terms of temporal correlation, we observe that under moderate and strong temporal correlation, a greater average regular--{\thething} event distance in a {\thething} distribution causes greater overall privacy loss.