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