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 three privacy models that guarantee {\thething} privacy and validate our proposal on real and synthetic data sets.