\subsection{Contribution}
\label{subsec:lmdk-contrib}
In this section, we formally define a novel privacy notion that we call \emph{{\thething} privacy}.
We apply this privacy notion to time series consisting of \emph{{\thethings}} and regular events, and we design and implement three {\thething} privacy schemes.
We investigate {\thething} privacy under temporal correlation, which is inherent in time series publishing, and discuss how {\thethings} can affect the propagation of temporal privacy loss.