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\begin{document}
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%\begin{figure*}
%\centering
%\scalebox{0.665}{
%\begin{tabular}{l@{}l@{}l@{}l@{}l}
%\\ \hline
%\includegraphics[width=2in]{/home/fayola/ourprivacy/results/enclave/results/nb/pd-ant13-nb-pic} &\includegraphics[width=2in]{images/within/arc-pic} &
%\includegraphics[width=2in]{images/within/camel10-pic} 
%&\includegraphics[width=2in]{images/within/poi15-pic} &\includegraphics[width=2in]{images/within/redaktor-pic}
%\\ \hline
%\includegraphics[width=2in]{images/within/skarbonka-pic}&
%\includegraphics[width=2in]{images/within/tomcat-pic}&\includegraphics[width=2in]{images/within/velocity14-pic}
%&\includegraphics[width=2in]{images/within/xalan24-pic}&\includegraphics[width=2in]{images/within/xerces12-pic}
%\\ \hline
%\end{tabular}}
%\caption{Pd vs IPR with $Q(1)$ for all ten(10) data-sets. 
%The {\em horizontal} and {\em vertical} 
%red lines  shows the within-company $pds$ and $IPR=400\%$ (respectively).
%Note that points

%above and to the right of these lines are  
%{\em private enough} (IPR over 400\%)
%and {\em performs
%adequately} (as good or better as the non-privatized data). 
%KEY: original \protect\keyplotcirc{red}; m \protect\keyplotcirc{green};
%m10 \protect\keyplotcirc{blue}; m20 \protect\keyplotcirc{magenta}; m40 
%\protect\keyplotcirc{cyan};
%s10 \protect\keyplotcirc{yellow}; s20 
%\protect\keyplotcirc{black}; s40 \protect\keyplotcirc{orange}.}
%\label{fig:priv-ipr}
%\end{figure*}


\begin{figure*}[!t]
\scalebox{0.7}{
\begin{tabular}{l|l}
%\begin{figure}[!t]
%\scalebox{0.7}{
\begin{tabular}{l@{}c@{}c}
 & pd & pf\\\hline
\begin{sideways}ant13\end{sideways}&\includegraphics[width=2.2in]{/home/fayola/ourprivacy/results/enclave/results/nb/pd-ant13-nb-pic} &
\includegraphics[width=2.2in]{/home/fayola/ourprivacy/results/enclave/results/nb/pf-ant13-nb-pic}
\\ \hline
\begin{sideways}arc\end{sideways}&\includegraphics[width=2.2in]{/home/fayola/ourprivacy/results/enclave/results/nb/pd-arc-nb-pic} &
\includegraphics[width=2.2in]{/home/fayola/ourprivacy/results/enclave/results/nb/pf-arc-nb-pic}
\\ \hline
\begin{sideways}camel10\end{sideways}&\includegraphics[width=2.2in]{/home/fayola/ourprivacy/results/enclave/results/nb/pd-camel10-nb-pic} &
\includegraphics[width=2.2in]{/home/fayola/ourprivacy/results/enclave/results/nb/pf-camel10-nb-pic}
\\ \hline
\begin{sideways}poi15\end{sideways}&\includegraphics[width=2.2in]{/home/fayola/ourprivacy/results/enclave/results/nb/pd-poi15-nb-pic} &
\includegraphics[width=2.2in]{/home/fayola/ourprivacy/results/enclave/results/nb/pf-poi15-nb-pic}
\\ \hline
\begin{sideways}redaktor\end{sideways}&\includegraphics[width=2.2in]{/home/fayola/ourprivacy/results/enclave/results/nb/pd-redaktor-nb-pic} &
\includegraphics[width=2.2in]{/home/fayola/ourprivacy/results/enclave/results/nb/pf-redaktor-nb-pic}
\\ \hline
\end{tabular}

&

\begin{tabular}{l@{}c@{}c}
 & pd & pf\\\hline
\begin{sideways}skarbonka\end{sideways}&\includegraphics[width=2.2in]{/home/fayola/ourprivacy/results/enclave/results/nb/pd-skarbonka-nb-pic} &
\includegraphics[width=2.2in]{/home/fayola/ourprivacy/results/enclave/results/nb/pf-skarbonka-nb-pic}
\\ \hline
\begin{sideways}tomcat\end{sideways}&\includegraphics[width=2.2in]{/home/fayola/ourprivacy/results/enclave/results/nb/pd-tomcat-nb-pic} &
\includegraphics[width=2.2in]{/home/fayola/ourprivacy/results/enclave/results/nb/pf-tomcat-nb-pic}
\\ \hline
\begin{sideways}velocity14\end{sideways}&\includegraphics[width=2.2in]{/home/fayola/ourprivacy/results/enclave/results/nb/pd-velocity14-nb-pic} &
\includegraphics[width=2.2in]{/home/fayola/ourprivacy/results/enclave/results/nb/pf-velocity14-nb-pic}
\\ \hline
\begin{sideways}xalan24\end{sideways}&\includegraphics[width=2.2in]{/home/fayola/ourprivacy/results/enclave/results/nb/pd-xalan24-nb-pic} &
\includegraphics[width=2.2in]{/home/fayola/ourprivacy/results/enclave/results/nb/pf-xalan24-nb-pic}
\\ \hline
\begin{sideways}xerces12\end{sideways}&\includegraphics[width=2.2in]{/home/fayola/ourprivacy/results/enclave/results/nb/pd-xerces12-nb-pic} &
\includegraphics[width=2.2in]{/home/fayola/ourprivacy/results/enclave/results/nb/pf-xerces12-nb-pic}
\\ \hline
\end{tabular}

\end{tabular}}
\caption{Pd and pf for the cross-company experiment. Naive Bayes used to
create prediction models. 
Within each plot the baseline results on the unprivatized
data  (``orig'') are shown on the left-hand-side and the 
results from the PriestPrivacy
approach of Taneja et al. \cite{Taneja11} are shown on the right-hand-side (``s10'',
``s20'', ``s40''), along with k-anonimity where k is 2 and 4 (k2 and k4). In the middle are the results of applying MORPH
to data that CLIFF has reduced to X\% of the original size.
Of particular interest is the ``m10'' results;
i.e. use CLIFF to reduce the data to 10\% of the original and then
then apply MORPH. Note that in all cases, 
``m10'' results in higher pds and lower pfs
(compared to both both the original data and in data processed by 
PriestPrivacy).}
\label{fig:bad-arc}
\end{figure*}




\begin{figure}[!ht]
\begin{tabular}{l@{}c@{}c}
\includegraphics[width=2.2in]{/home/fayola/ourprivacy/results/privacy/results/m-ipr-1}
&\includegraphics[width=2.2in]{/home/fayola/ourprivacy/results/privacy/results/s-ipr-1}
&\includegraphics[width=2.2in]{/home/fayola/ourprivacy/results/privacy/results/k-ipr-1}
\\
\end{tabular}
\caption{Increased Privacy Ratio (ipr) of Query size 1. Note: On the third chart
k4 has IPRs of about 100 for ant (ant13) and ska (skarbonka). However with the cross experiments in \fig{bad-arc}
these same data-sets show that utility is largely degraded with almost non existant pds 
and high pfs.}
\label{fig:priv}
\end{figure}






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