diff --git a/tables/statistical.tex b/tables/statistical.tex
index 1fbcecf..26ad5e2 100644
--- a/tables/statistical.tex
+++ b/tables/statistical.tex
@@ -78,8 +78,8 @@
       \hyperlink{chen2017pegasus}{\emph{PeGaSus}} & infinite & streaming & global & event & linkage & perturbation & differential \\
       \cite{chen2017pegasus} & & & & & & (Laplace) & privacy \\ \hdashline
 
-      \hyperlink{wang2018privacy}{\textbf{\emph{DP-PSP}}} & infinite & streaming & global & $w$-event & linkage & perturbation & differential \\
-      \cite{wang2018privacy} & & & & & & (Laplace) & privacy \\
+      \hyperlink{wang2018privacy}{\textbf{\emph{DP-PSP}}} & infinite & streaming & global & $w$-event & linkage & perturbation (ex- & differential \\
+      \cite{wang2018privacy} & & & & & & ponential, Laplace) & privacy \\
 
       \hyperlink{ma2019real}{\textbf{\emph{RPTR}}} & infinite & streaming & global & $w$-event & linkage & perturbation & differential \\
       \cite{ma2019real} & & & & & & (Laplace) & privacy \\ \hdashline
diff --git a/text/related/statistical.tex b/text/related/statistical.tex
index 90c57bd..8c78323 100644
--- a/text/related/statistical.tex
+++ b/text/related/statistical.tex
@@ -363,7 +363,7 @@ The combination of the Perturber and the Grouper follows the sequential composit
 % - global
 % - w-event
 % - differential privacy
-% - perturbation (Laplace)
+% - perturbation (exponential, Laplace)
 \hypertarget{wang2018privacy}{Wang et al.}~\cite{wang2018privacy} presented \emph{DP-PSP}, an approach for publishing differentially private statistics over infinite streams of trajectory data.
 DP-PSP segments trajectories by taking into account points of interest in road networks.
 A start and end point (anchor) represents a segment and each data point in the trajectory data is calibrated to the nearest anchor.