\nnfootnote{This chapter is under review for being published in the proceedings of the $12$th ACM Conference on Data and Application Security and Privacy~\cite{katsomallos2022landmark}.\bigskip}
In this chapter, we present the experiments that we performed in order to evaluate {\thething} privacy (Chapter~\ref{ch:lmdk-prv}) on real and synthetic data sets.
Section~\ref{sec:eval-lmdk} evaluates the data utility of the {\thething} privacy schemes that we designed in Section~\ref{sec:thething} in comparison to user and event level, and investigates the behavior of the privacy loss under temporal correlation for different distributions of {\thethings}.
Section~\ref{sec:eval-lmdk-sel} justifies our decisions while designing the privacy-preserving dummy {\thething} selection module in Section~\ref{sec:theotherthing} and the data utility impact of the latter.