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perspectives: A full-stop

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Manos Katsomallos
2022-01-07 06:08:27 +01:00
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@ -43,7 +43,7 @@ This way, it is possible to acquire more information regarding individuals' iden
\paragraph{Consideration of other data correlation types} \paragraph{Consideration of other data correlation types}
In the current state of our work, we consider {\thethings} as one-dimensional elements in our problem setting. In the current state of our work, we consider {\thethings} as one-dimensional elements in our problem setting.
Consequently, we have explored {\thething} privacy under temporal correlation and examined the behavior of temporal privacy loss for different {\thething} percentages and distributions. Consequently, we have explored {\thething} privacy under temporal correlation and examined the behavior of temporal privacy loss for different {\thething} percentages and distributions.
Accounting for other possible dimensions, e.g.,~location, can introduce more aspects to the current use case of {\thething} privacy Accounting for other possible dimensions, e.g.,~location, can introduce more aspects to the current use case of {\thething} privacy.
% \kat{you mean for the correlations or in general? If it is in general, then the title should change} % \kat{you mean for the correlations or in general? If it is in general, then the title should change}
% \mk{OK} % \mk{OK}
Indicatively, as we have extensively studied in Section~\ref{sec:correlation}, there are many types of data correlation in time series to further research in the context of {\thething} privacy. Indicatively, as we have extensively studied in Section~\ref{sec:correlation}, there are many types of data correlation in time series to further research in the context of {\thething} privacy.