Preuve existe f pas cca equivalant exists f BA pas randomguess

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+\begin{thebibliography}{10}
+
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+Martin Abadi, Andy Chu, Ian Goodfellow, H~Brendan McMahan, Ilya Mironov, Kunal
+  Talwar, and Li~Zhang.
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+  communications security}, pages 308--318, 2016.
+
+\bibitem{bellovin2019privacy}
+Steven~M Bellovin, Preetam~K Dutta, and Nathan Reitinger.
+\newblock Privacy and synthetic datasets.
+\newblock {\em Stan. Tech. L. Rev.}, 22:1, 2019.
+
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+Frances Ding, Moritz Hardt, John Miller, and Ludwig Schmidt.
+\newblock Retiring adult: New datasets for fair machine learning.
+\newblock {\em Advances in Neural Information Processing Systems}, 34, 2021.
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+  Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio.
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+  Information Processing Systems - Volume 2}, NIPS'14, page 2672–2680,
+  Cambridge, MA, USA, 2014. MIT Press.
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+\bibitem{dcgan}
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+\newblock Unsupervised representation learning with deep convolutional
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+Reza Shokri, Marco Stronati, Congzheng Song, and Vitaly Shmatikov.
+\newblock Membership inference attacks against machine learning models.
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+
+\bibitem{song2020overlearning}
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+\newblock Overlearning reveals sensitive attributes, 2020.
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+\bibitem{stadler2020synthetic}
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+\newblock Synthetic data-a privacy mirage.
+\newblock {\em arXiv preprint arXiv:2011.07018}, 2020.
+
+\bibitem{ctgan}
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+\newblock Modeling tabular data using conditional gan, 2019.
+
+\bibitem{yeom}
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+  overfitting, 2018.
+
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+Zhifei Zhang, Yang Song, and Hairong Qi.
+\newblock Age progression/regression by conditional adversarial autoencoder.
+\newblock In {\em IEEE Conference on Computer Vision and Pattern Recognition
+  (CVPR)}. IEEE, 2017.
+
+\end{thebibliography}