\begin{table} \centering \resizebox{\textwidth}{!}{ \begin{tabular} {@{}*{8}l@{}} \toprule \multicolumn{8}{c}{\textbf{Statistical data}} \\ \midrule \multirow{3}{*}[-6pt]{\textbf{Article}} & \multicolumn{3}{c}{\textbf{Data}} & \multicolumn{4}{c}{\textbf{Protection}} \\ \cmidrule(l{2pt}r{2pt}){2-4} \cmidrule(l{2pt}r{2pt}){5-8} & \multirow{2}{*}[-2pt]{\textbf{Category}} & \multicolumn{2}{c}{\textbf{Publishing}} & \multirow{2}{*}[-2pt]{\textbf{Level}} & \multirow{2}{*}[-2pt]{\textbf{Attack}} & \multirow{2}{*}[-2pt]{\textbf{Operation}} & \multirow{2}{*}[-2pt]{\textbf{Method}} \\ \cmidrule(l{2pt}r{2pt}){3-4} & & \textbf{Mode} & \textbf{Scheme} & & & & \\ \midrule \hyperlink{kellaris2013practical}{Kellaris et al.} & finite & batch & global & event & linkage & perturbation & differential \\ \cite{kellaris2013practical} & & & & & & (Laplace) & privacy \\ \hdashline \hyperlink{chen2012differentially}{Chen et al.} & finite & batch & global & user & linkage & perturbation & differential \\ \cite{chen2012differentially} & (sequential) & & & & & (Laplace) & privacy \\ \hdashline \hyperlink{hua2015differentially}{Hua et al.} & finite & batch & global & user & linkage & perturbation (ex- & differential \\ \cite{hua2015differentially} & (sequential) & & & & & ponential, Laplace) & privacy \\ \hdashline \hyperlink{li2017achieving}{Li et al.} & finite & batch & global & user & linkage & perturbation & differential \\ \cite{li2017achieving} & (sequential) & & & & & (Laplace) & privacy \\ \hdashline \hyperlink{he2015dpt}{\emph{DPT}} & finite & batch & global & user & correlation & perturbation & differential \\ \cite{he2015dpt} & (sequential) & & & & (spatial) & (Laplace) & privacy \\ \hdashline \hyperlink{song2017pufferfish}{Song et al.} & finite & batch & global & event & correlation & perturbation & pufferfish \\ \cite{song2017pufferfish} & & & & & & (Laplace) & \\ \hdashline \hyperlink{fan2013differentially}{Fan et al.} & finite & streaming & global & user & correlation & perturbation & differential \\ \cite{fan2013differentially} & (sequential) & & & & (spatiotemporal) & (Laplace) & privacy \\ \hdashline \hyperlink{fan2014adaptive}{\emph{FAST}} & finite & streaming & global & user & linkage & perturbation & differential \\ \cite{fan2014adaptive} & & & & & & (Laplace) & privacy \\ \hdashline \hyperlink{wang2017cts}{\emph{CTS-DP}} & finite & streaming & global & event & correlation & perturbation & differential \\ \cite{wang2017cts} & & & & & (serial) & (Laplace) & privacy \\ \midrule \hyperlink{chan2011private}{Chan et al.} & finite/ & streaming & global & event & linkage & perturbation & differential \\ \cite{chan2011private} & infinite & & & & & (Laplace) & privacy \\ \hdashline \hyperlink{cao2015differentially}{\emph{$l$-trajectory}} & infinite & streaming & global & $w$-event & linkage & perturbation & differential \\ \cite{cao2015differentially} & (sequential) & & & & & (Laplace) & privacy \\ \hdashline \hyperlink{bolot2013private}{Bolot et al.} & infinite & streaming & global & $w$-event & linkage & perturbation & differential \\ \cite{bolot2013private} & & & & & & (Laplace) & privacy \\ \hdashline \hyperlink{kellaris2014differentially}{Kellaris et al.} & infinite & streaming & global & $w$-event & linkage & perturbation & differential \\ \cite{kellaris2014differentially} & & & & & & (Laplace) & privacy \\ \hdashline \hyperlink{wang2016rescuedp}{\emph{RescueDP}} & infinite & streaming & global & $w$-event & correlation & perturbation & differential \\ \cite{wang2016rescuedp} & & & & & (serial) & (Laplace) & privacy \\ \hdashline \hyperlink{erlingsson2014rappor}{\emph{RAPPOR}} & infinite & streaming & local & user & linkage & randomization (ran- & differential \\ \cite{erlingsson2014rappor} & & & & & & domized response) & privacy \\ \hdashline \hyperlink{quoc2017privapprox}{\emph{PrivApprox}} & infinite & streaming & global & event & linkage & randomization (ran- & differential \\ \cite{quoc2017privapprox} & & & & & & domized response) & privacy \\ \hdashline \hyperlink{li2007hiding}{Li et al.} & infinite & streaming & global & event & correlation & randomization & - \\ \cite{li2007hiding} & & & & & (serial) & & \\ \hdashline \hyperlink{chen2017pegasus}{\emph{PeGaSus}} & infinite & streaming & global & event & linkage & perturbation & differential \\ \cite{chen2017pegasus} & & & & & & (Laplace) & privacy \\ \hdashline \hyperlink{errounda2018continuous}{Errounda et al.} & infinite & streaming & local & $w$-event & linkage & randomization (ran- & differential \\ \cite{errounda2018continuous} & (sequential) & & & & & domized response), & privacy \\ & & & & & & perturbation & \\ & & & & & & (Laplace) & \\ \hdashline \hyperlink{wang2018privacy}{\emph{DP-PSP}} & infinite & streaming & global & $w$-event & linkage & perturbation (ex- & differential \\ \cite{wang2018privacy} & (sequential) & & & & & ponential, Laplace) & privacy \\ \hdashline \hyperlink{ma2019real}{\emph{RPTR}} & infinite & streaming & global & $w$-event & linkage & perturbation & differential \\ \cite{ma2019real} & (sequential) & & & & & (Laplace) & privacy \\ \hdashline \hyperlink{farokhi2020temporally}{Farokhi} & infinite & streaming & global & user & linkage & perturbation & differential \\ \cite{farokhi2020temporally} & & & & & & (Laplace) & privacy \\ \hdashline \bottomrule \end{tabular} } \caption{ Summary table of reviewed privacy-preserving algorithms for continuous statistical data publishing. % Location-specific techniques are listed in bold.\kat{same remarks as before for the location} % \mk{Removed} } \label{tab:statistical} \end{table}