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katerinatzo
2021-07-27 09:38:07 +03:00
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\section{Evaluation}
\label{sec:lmdk-eval}
\kat{After discussing with Dimitris, I thought you are keeping one chapter for the proposals of the thesis. In this case, it would be more clean to keep the theoretical contributions in one chapter and the evaluation in a separate chapter. }
In this section we present the experiments that we performed on real and synthetic data sets.
With the experiments on the synthetic data sets we show the privacy loss by our framework when tuning the size and statistical characteristics of the input {\thething} set $L$.
We also show how the privacy loss under temporal correlation is affected by the number and distribution of the {\thethings}.

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In this chapter, we propose a novel configurable privacy scheme, \emph{\thething} privacy, which takes into account significant events (\emph{\thethings}) in the time series and allocates the available privacy budget accordingly.
We propose two privacy models that guarantee {\thething} privacy and validate our proposal on real and synthetic data sets.
\kat{Now, you have space so you need to be more detailed in the discussions, the motivation, the examples etc.}
\input{thething/motivation}
\input{thething/contribution}
\input{thething/problem}