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author | Jan Aalmoes <jan.aalmoes@inria.fr> | 2024-09-11 00:10:50 +0200 |
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committer | Jan Aalmoes <jan.aalmoes@inria.fr> | 2024-09-11 00:10:50 +0200 |
commit | bf5b05a84e877391fddd1b0a0b752f71ec05e901 (patch) | |
tree | 149609eeff1d475cd60f398f0e4bfd786c5d281c /synthetic/bck/results.tex | |
parent | 03556b31409ac5e8b81283d3a6481691c11846d7 (diff) |
Preuve existe f pas cca equivalant exists f BA pas randomguess
Diffstat (limited to 'synthetic/bck/results.tex')
-rw-r--r-- | synthetic/bck/results.tex | 53 |
1 files changed, 53 insertions, 0 deletions
diff --git a/synthetic/bck/results.tex b/synthetic/bck/results.tex new file mode 100644 index 0000000..2d225a5 --- /dev/null +++ b/synthetic/bck/results.tex @@ -0,0 +1,53 @@ +In this section we analyse the impact of using syhthetic data instead of real data on MIA and AIA. +Section~\ref{sec:uti} presents the utilisy of the target. +This control factor allows us to assess that every model has learned some level of information and is not random guessing the label. + +\subsection{Utility} +\label{sec:uti} + +\begin{figure} + \centering + \begin{subfigure}{0.45\linewidth} + \includegraphics[width=\textwidth]{synthetic/figure/result/adult/utility.pdf} + \caption{Adult} + \end{subfigure} + \begin{subfigure}{0.45\linewidth} + \includegraphics[width=\textwidth]{synthetic/figure/result/adult/utility.pdf} + \caption{CelebA} + \end{subfigure} + \caption{Utility of the target model in terms of balanced accuracy evaluated on unseen data. + The "Real" label refers to a generator equal to identity, hence the synthetic data used to train the target model is the real data. + THe "Synthetic" label refers to a CGAN generator for Adult and CTGAN for CelebA, hence the synthetic data are generated sampled according to a distribution learned by the genrator model. + In this case the target model is not trained on real date.} +\end{figure} +Using synthetic datatset degrades the utility of the predictor. + +\subsection{Membership inference attack} +\begin{figure} + \centering + \begin{subfigure}{0.45\linewidth} + \includegraphics[width=\textwidth]{synthetic/figure/result/adult/mia.pdf} + \caption{Adult} + \end{subfigure} + \begin{subfigure}{0.45\linewidth} + \includegraphics[width=\textwidth]{synthetic/figure/result/adult/mia.pdf} + \caption{CelebA} + \end{subfigure} + \caption{Success of the MIA in terms of balanced accuracy evaluated on the Train part of MIA dataset.} +\end{figure} +Using synthetic dataset slightly degrades the success of membership inference attack. + +\subsection{Attribute inference attack} +\begin{figure} + \centering + \begin{subfigure}{0.45\linewidth} + \includegraphics[width=\textwidth]{synthetic/figure/result/adult/aia.pdf} + \caption{Adult} + \end{subfigure} + \begin{subfigure}{0.45\linewidth} + \includegraphics[width=\textwidth]{synthetic/figure/result/adult/aia.pdf} + \caption{CelebA} + \end{subfigure} + \caption{Success of the AIA in terms of balanced accuracy evaluated on the Train part of AIA dataset.} +\end{figure} +Using synthetic dataset does not have an impact on the success of attrivute inference atttack. |