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| author | Jan Aalmoes <jan.aalmoes@inria.fr> | 2024-09-13 00:07:42 +0200 |
|---|---|---|
| committer | Jan Aalmoes <jan.aalmoes@inria.fr> | 2024-09-13 00:07:42 +0200 |
| commit | faa07a8f3337c5d191597ea9b9587cc0969d663c (patch) | |
| tree | a46440db847ce447917abecb7971d90db4a1f150 /ACSAC/figures | |
| parent | 7fc151d6a198d13dc9e1374522ec396d72905d3f (diff) | |
avnacé aia, remerciement notations, notes
Diffstat (limited to 'ACSAC/figures')
115 files changed, 372 insertions, 0 deletions
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b/ACSAC/figures/egd/meps/old_format/meps_egd_utility.pdf diff --git a/ACSAC/figures/fig_advdebias_attacc.tex b/ACSAC/figures/fig_advdebias_attacc.tex new file mode 100644 index 0000000..6c4d29a --- /dev/null +++ b/ACSAC/figures/fig_advdebias_attacc.tex @@ -0,0 +1,139 @@ +% \begin{figure}[!htb] +% \centering +% \begin{minipage}[b]{\linewidth} +% \centering +% \subfigure[\census (\race)]{ +% \includegraphics[width=0.48\linewidth]{ACSAC/figures/advdebias/census/census_advdeb_attack_soft_experimental_race.pdf} +% }% +% \subfigure[\census (\sex)]{ +% \includegraphics[width=0.48\linewidth]{ACSAC/figures/advdebias/census/census_advdeb_attack_soft_experimental_sex.pdf} +% } +% \end{minipage}% + + +% \begin{minipage}[b]{\linewidth} +% \centering +% \subfigure[\compas (\race)]{ +% \includegraphics[width=0.48\linewidth]{ACSAC/figures/advdebias/compas/compas_advdeb_attack_soft_experimental_race.pdf} +% }% +% \subfigure[\compas (\sex)]{ +% \includegraphics[width=0.48\linewidth]{ACSAC/figures/advdebias/compas/compas_advdeb_attack_soft_experimental_sex.pdf} +% } +% \end{minipage}% + +% \begin{minipage}[b]{\linewidth} +% \centering +% \subfigure[\meps (\race)]{ +% \includegraphics[width=0.48\linewidth]{ACSAC/figures/advdebias/meps/meps_advdeb_attack_soft_experimental_race.pdf} +% }% +% \subfigure[\meps (\sex)]{ +% \includegraphics[width=0.48\linewidth]{ACSAC/figures/advdebias/meps/meps_advdeb_attack_soft_experimental_sex.pdf} +% } +% \end{minipage}% + +% \begin{minipage}[b]{\linewidth} +% \centering +% \subfigure[\lfw (\race)]{ +% \includegraphics[width=0.48\linewidth]{ACSAC/figures/advdebias/lfw/lfw_advdeb_attack_soft_experimental_race.pdf} +% }% +% \subfigure[\lfw (\sex)]{ +% \includegraphics[width=0.48\linewidth]{ACSAC/figures/advdebias/lfw/lfw_advdeb_attack_soft_experimental_sex.pdf} +% } +% \end{minipage}% + +% \caption{%For both \adaptiveAIASoft and \adaptiveAIAHard, w +% We observe that \advdebias reduces the attack accuracy to random guess ($\sim$50\%). %Additionally for \adaptiveAIAHard, the theoretical bound on attack accuracy (``Theory'') matches with the empirical results (``Empirical''). +% } +% \label{fig:AdaptAIADebias} +% \end{figure} + + + + + +\begin{figure*}[!htb] + \centering + \begin{minipage}[b]{0.49\linewidth} + \centering + \subfigure[\adaptiveAIASoft: \census (\race)]{ + \includegraphics[width=0.48\linewidth]{ACSAC/figures/advdebias/census/census_advdeb_attack_soft_experimental_race.pdf} + }% + \subfigure[\adaptiveAIASoft: \census (\sex)]{ + \includegraphics[width=0.48\linewidth]{ACSAC/figures/advdebias/census/census_advdeb_attack_soft_experimental_sex.pdf} + } + \end{minipage}% + \begin{minipage}[b]{0.49\linewidth} + \centering + \subfigure[\adaptiveAIAHard: \census (\race)]{ + \includegraphics[width=0.48\linewidth]{ACSAC/figures/advdebias/census/census_advdeb_attack_hard_race.pdf} + }% + \subfigure[\adaptiveAIAHard: \census (\sex)]{ + \includegraphics[width=0.48\linewidth]{ACSAC/figures/advdebias/census/census_advdeb_attack_hard_sex.pdf} + } + \end{minipage}\\ + + + \begin{minipage}[b]{0.49\linewidth} + \centering + \subfigure[\adaptiveAIASoft: \compas (\race)]{ + \includegraphics[width=0.48\linewidth]{ACSAC/figures/advdebias/compas/compas_advdeb_attack_soft_experimental_race.pdf} + }% + \subfigure[\adaptiveAIASoft: \compas (\sex)]{ + \includegraphics[width=0.48\linewidth]{ACSAC/figures/advdebias/compas/compas_advdeb_attack_soft_experimental_sex.pdf} + } + \end{minipage}% + \begin{minipage}[b]{0.49\linewidth} + \centering + \subfigure[\adaptiveAIAHard: \compas (\race)]{ + \includegraphics[width=0.48\linewidth]{ACSAC/figures/advdebias/compas/compas_advdeb_attack_hard_race.pdf} + }% + \subfigure[\adaptiveAIAHard: \compas (\sex)]{ + \includegraphics[width=0.48\linewidth]{ACSAC/figures/advdebias/compas/compas_advdeb_attack_hard_sex.pdf} + } + \end{minipage}\\ + + + \begin{minipage}[b]{0.49\linewidth} + \centering + \subfigure[\adaptiveAIASoft: \meps (\race)]{ + \includegraphics[width=0.48\linewidth]{ACSAC/figures/advdebias/meps/meps_advdeb_attack_soft_experimental_race.pdf} + }% + \subfigure[\adaptiveAIASoft: \meps (\sex)]{ + \includegraphics[width=0.48\linewidth]{ACSAC/figures/advdebias/meps/meps_advdeb_attack_soft_experimental_sex.pdf} + } + \end{minipage}% + \begin{minipage}[b]{0.49\linewidth} + \centering + \subfigure[\adaptiveAIAHard: \meps (\race)]{ + \includegraphics[width=0.48\linewidth]{ACSAC/figures/advdebias/meps/meps_advdeb_attack_hard_race.pdf} + }% + \subfigure[\adaptiveAIAHard: \meps (\sex)]{ + \includegraphics[width=0.48\linewidth]{ACSAC/figures/advdebias/meps/meps_advdeb_attack_hard_sex.pdf} + } + \end{minipage}\\ + + + \begin{minipage}[b]{0.49\linewidth} + \centering + \subfigure[\adaptiveAIASoft: \lfw (\race)]{ + \includegraphics[width=0.48\linewidth]{ACSAC/figures/advdebias/lfw/lfw_advdeb_attack_soft_experimental_race.pdf} + }% + \subfigure[\adaptiveAIASoft: \lfw (\sex)]{ + \includegraphics[width=0.48\linewidth]{ACSAC/figures/advdebias/lfw/lfw_advdeb_attack_soft_experimental_sex.pdf} + } + \end{minipage}% + \begin{minipage}[b]{0.49\linewidth} + \centering + \subfigure[\adaptiveAIAHard: \lfw (\race)]{ + \includegraphics[width=0.48\linewidth]{ACSAC/figures/advdebias/lfw/lfw_advdeb_attack_hard_race.pdf} + }% + \subfigure[\adaptiveAIAHard: \lfw (\sex)]{ + \includegraphics[width=0.48\linewidth]{ACSAC/figures/advdebias/lfw/lfw_advdeb_attack_hard_sex.pdf} + } + \end{minipage} + +\vspace{-2mm} + \caption{For both \adaptiveAIASoft and \adaptiveAIAHard, \advdebias reduces the attack accuracy to random guess ($\sim$50\%). For \adaptiveAIAHard, the theoretical bound on attack accuracy (\theoretical) matches with the empirical results (\empirical).} + \label{fig:AdaptAIADebias} + \vspace{-2mm} +\end{figure*} diff --git a/ACSAC/figures/fig_advdebias_fair.tex b/ACSAC/figures/fig_advdebias_fair.tex new file mode 100644 index 0000000..42e6835 --- /dev/null +++ b/ACSAC/figures/fig_advdebias_fair.tex @@ -0,0 +1,47 @@ + +\begin{figure}[!htb] + \centering + \begin{minipage}[b]{1\linewidth} + \centering + \subfigure[\census (\race)]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/advdebias/census/census_advdeb_dp_lvl_race.pdf} + }% + \subfigure[\census (\sex)]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/advdebias/census/census_advdeb_dp_lvl_sex.pdf} + } + \end{minipage}\\ + + \begin{minipage}[b]{1\linewidth} + \centering + \subfigure[\compas (\race)]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/advdebias/compas/compas_advdeb_dp_lvl_race.pdf} + }% + \subfigure[\compas (\sex)]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/advdebias/compas/compas_advdeb_dp_lvl_sex.pdf} + } + \end{minipage}\\ + + \begin{minipage}[b]{1\linewidth} + \centering + \subfigure[\meps (\race)]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/advdebias/meps/meps_advdeb_dp_lvl_race.pdf} + }% + \subfigure[\meps (\sex)]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/advdebias/meps/meps_advdeb_dp_lvl_sex.pdf} + } + \end{minipage}\\ + + + \begin{minipage}[b]{1\linewidth} + \centering + \subfigure[\lfw (\race)]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/advdebias/lfw/lfw_advdeb_dp_lvl_race.pdf} + }% + \subfigure[\lfw (\sex)]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/advdebias/lfw/lfw_advdeb_dp_lvl_sex.pdf} + } + \end{minipage} + + \caption{\dempar-Level for \advdebias: We observe that \dempar-Level is lower for \advdebias indicating $\targetmodel$ is fair.} + \label{fig:DemParAdvDebias2} +\end{figure}
\ No newline at end of file diff --git a/ACSAC/figures/fig_advdebias_utility.tex b/ACSAC/figures/fig_advdebias_utility.tex new file mode 100644 index 0000000..0a87115 --- /dev/null +++ b/ACSAC/figures/fig_advdebias_utility.tex @@ -0,0 +1,23 @@ +\begin{figure}[!htb] + \centering + \begin{minipage}[b]{1\linewidth} + \centering + \subfigure[\census]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/advdebias/census/census_advdeb_utility.pdf} + }% + \subfigure[\compas]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/advdebias/compas/compas_advdeb_utility.pdf} + } + \end{minipage}\\ + \begin{minipage}[b]{1\linewidth} + \centering + \subfigure[\meps]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/advdebias/meps/meps_advdeb_utility.pdf} + }% + \subfigure[\lfw]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/advdebias/lfw/lfw_advdeb_utility.pdf} + } + \end{minipage} + \caption{Utility degradation for \advdebias: We observe a statistically significant drop in $\targetmodel$'s accuracy on using \advdebias.} + \label{fig:utilityAdvDebias2} +\end{figure}
\ No newline at end of file diff --git a/ACSAC/figures/fig_egd_attack.tex b/ACSAC/figures/fig_egd_attack.tex new file mode 100644 index 0000000..8b1c713 --- /dev/null +++ b/ACSAC/figures/fig_egd_attack.tex @@ -0,0 +1,50 @@ + +\begin{figure}[!htb] + \centering + \begin{minipage}[b]{1\linewidth} + \centering + \subfigure[\census (\race)]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/egd/census/census_egd_attack_hard_race.pdf} + }% + \subfigure[\census (\sex)]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/egd/census/census_egd_attack_hard_sex.pdf} + } + \end{minipage}\\ + + \begin{minipage}[b]{1\linewidth} + \centering + \subfigure[\compas (\race)]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/egd/compas/compas_egd_attack_hard_race.pdf} + }% + \subfigure[\compas (\sex)]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/egd/compas/compas_egd_attack_hard_sex.pdf} + } + \end{minipage}\\ + + \begin{minipage}[b]{1\linewidth} + \centering + \subfigure[\meps (\race)]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/egd/meps/meps_egd_attack_hard_race.pdf} + }% + \subfigure[\meps (\sex)]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/egd/meps/meps_egd_attack_hard_sex.pdf} + } + \end{minipage}\\ + + \begin{minipage}[b]{1\linewidth} + \centering + \subfigure[\lfw (\race)]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/egd/lfw/lfw_egd_attack_hard_race.pdf} + }% + \subfigure[\lfw (\sex)]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/egd/lfw/lfw_egd_attack_hard_sex.pdf} + } + \end{minipage} + + \caption{For \adaptiveAIAHard, we observe that \egd reduces the attack accuracy to random guess ($\sim$50\%). %Additionally, the theoretical bound on attack accuracy (``Theory'') matches with the empirical results (``Empirical''). + } + \label{fig:AdaptAIAEGD} +\end{figure} + + +%\textbf{Overall, we observe that using group fairness results in attribute privacy but comes at the cost of $\targetmodel$'s utility.}
\ No newline at end of file diff --git a/ACSAC/figures/fig_egd_fair.tex b/ACSAC/figures/fig_egd_fair.tex new file mode 100644 index 0000000..bed88b8 --- /dev/null +++ b/ACSAC/figures/fig_egd_fair.tex @@ -0,0 +1,46 @@ + +\begin{figure}[!htb] + \centering + \begin{minipage}[b]{1\linewidth} + \centering + \subfigure[\census (\race)]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/egd/census/census_egd_dp_lvl_race.pdf} + }% + \subfigure[\census (\sex)]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/egd/census/census_egd_dp_lvl_sex.pdf} + } + \end{minipage}\\ + + \begin{minipage}[b]{1\linewidth} + \centering + \subfigure[\compas (\race)]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/egd/compas/compas_egd_dp_lvl_race.pdf} + }% + \subfigure[\compas (\sex)]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/egd/compas/compas_egd_dp_lvl_sex.pdf} + } + \end{minipage}\\ + + \begin{minipage}[b]{1\linewidth} + \centering + \subfigure[\meps (\race)]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/egd/meps/meps_egd_dp_lvl_race.pdf} + }% + \subfigure[\meps (\sex)]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/egd/meps/meps_egd_dp_lvl_sex.pdf} + } + \end{minipage}\\ + + \begin{minipage}[b]{1\linewidth} + \centering + \subfigure[\lfw (\race)]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/egd/lfw/lfw_egd_dp_lvl_race.pdf} + }% + \subfigure[\lfw (\sex)]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/egd/lfw/lfw_egd_dp_lvl_sex.pdf} + } + \end{minipage} + + \caption{\dempar-Level for \egd: We observe that \dempar-Level is lower for \egd than the baseline indicating $\targetmodel$ is fair after \egd.} + \label{fig:DemParegd2} +\end{figure}
\ No newline at end of file diff --git a/ACSAC/figures/fig_egd_utility.tex b/ACSAC/figures/fig_egd_utility.tex new file mode 100644 index 0000000..36ae32a --- /dev/null +++ b/ACSAC/figures/fig_egd_utility.tex @@ -0,0 +1,20 @@ +\begin{figure}[!htb] + \centering + \begin{minipage}[b]{1\linewidth} + \centering + \subfigure[\census]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/egd/census/census_egd_utility.pdf} + }% + \subfigure[\compas]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/egd/compas/compas_egd_utility.pdf} + }\\ + \subfigure[\meps]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/egd/meps/meps_egd_utility.pdf} + }% + \subfigure[\lfw]{ + \includegraphics[width=0.49\linewidth]{ACSAC/figures/egd/lfw/lfw_egd_utility.pdf} + } + \end{minipage} + \caption{Utility degradation for \egd: We observe a statistically significant drop in $\targetmodel$'s accuracy on using \egddp which matches the observation from prior work~\cite{reductions}.} + \label{fig:utilityEGD} +\end{figure}
\ No newline at end of file diff --git a/ACSAC/figures/fig_tm2.tex b/ACSAC/figures/fig_tm2.tex new file mode 100644 index 0000000..9cf489b --- /dev/null +++ b/ACSAC/figures/fig_tm2.tex @@ -0,0 +1,47 @@ +\begin{figure}[t] +\centering +\resizebox{.68\textwidth}{!}{% +\begin{tikzpicture} + + \node [rectangle,draw,thick,minimum width=1.5cm, minimum height=0.75cm] (targetmodel) {$\targetmodel$}; + + \node[below of=targetmodel,yshift=-0.3cm,database,database radius=0.4cm,database segment height=0.2cm, label={below:\footnotesize $\traindata: (X, Y)$}] (trainingdata) {}; + + \node [left of=targetmodel,minimum width=0.75cm,xshift=-0.8cm,fill=red!20,rectangle,draw,thick,label={below:\footnotesize Input}] (inputrecord) {$X'(\omega)$}; + \node [right of=targetmodel,xshift=1.5cm,rectangle,draw,thick] (outputpred) {$\targetmodel(X'(\omega))$}; + % \node [below of=outputpred,minimum width=1.5cm,rectangle,draw,thick] (explanation) {$\phi(x)$}; + + \begin{scope}[on background layer] + \node (tm1) [fit=(targetmodel) (trainingdata), fill= gray!20, rounded corners, inner sep=0.1cm, label={above:\footnotesize }] {}; + \end{scope} + + \node [right of=outputpred,rectangle,draw,thick,minimum width=1.5cm, minimum height=0.75cm,xshift=1.2cm,fill= gray!20] (attmodel) {$\attackmodel$}; + + \node [right of=attmodel,xshift=0.6cm,minimum width=0.75cm,rectangle,draw,thick] (attout) {$S(\omega)$}; + + \node[below of=attmodel,database,database radius=0.4cm,database segment height=0.2cm,yshift=-0.3cm, label={below:\footnotesize $\auxdata: (X', Y', S')$}] (auxdata) {}; + +\begin{scope}[on background layer] + \node (models) [fit=(attmodel) (outputpred) (attout) (auxdata), fill= red!20, rounded corners, inner sep=0.1cm] {}; +\end{scope} + + +\draw[->,ultra thick] (inputrecord.east) -- node[anchor=south, align=center] {\em\footnotesize } (targetmodel.west); +\draw[->,ultra thick] (targetmodel.east) -- node[anchor=south, align=center] {\em\footnotesize } (outputpred.west); +% \draw[->,ultra thick] (targetmodel.east) -- node[anchor=south, align=center] {\em\footnotesize } (explanation.west); + + +\draw[->,ultra thick, dashed] (outputpred.east) -- node[anchor=south, align=center] {\em\footnotesize } (attmodel.west); +% \draw[->,ultra thick, dashed] (explanation.east) -- node[anchor=south, align=center] {\em\footnotesize } (attmodel.west); +\draw[->,ultra thick] (attmodel.east) -- node[anchor=south, align=center] {\em\footnotesize } (attout.west); +\draw[->,ultra thick,dashed] (trainingdata.north) -- node[anchor=south, align=center,label={[yshift=-0.2cm]right:\footnotesize Train}] {\em\footnotesize } (targetmodel.south); +\draw[->,ultra thick,dashed] (auxdata.north) -- node[anchor=south, align=center,label={[yshift=-0.2cm]right:\footnotesize Train}] {\em\footnotesize } (attmodel.south); + + +\end{tikzpicture} +} +\vspace{-1mm} +\caption{\adv wants to infer sensitive attributes for an input given its prediction. \adv trains $\attackmodel$ on $\auxdata$ to map $\targetmodel(X'(\omega))$ to $S'(\omega)$. Once trained, \adv only uses $\targetmodel$'s outputs as input to $\attackmodel$ to infer sensitive attributes. \colorbox{red!20}{red} indicates accessible by \adv.} +\vspace{-1mm} +\label{fig:tm2} +\end{figure}
\ No newline at end of file diff --git a/ACSAC/figures/old_distrib.pdf b/ACSAC/figures/old_distrib.pdf Binary files differnew file mode 100644 index 0000000..5745c6a --- /dev/null +++ b/ACSAC/figures/old_distrib.pdf |