From 1cd4b331820e3c5a1e1f5f85bce6e1a2e926df3a Mon Sep 17 00:00:00 2001
From: Jan Aalmoes <jan.aalmoes@inria.fr>
Date: Mon, 30 Sep 2024 21:38:16 +0200
Subject: =?UTF-8?q?Fin=20=C3=A9criture=20synth=C3=A9tique?=
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---
 synthetic/conclusion.tex | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

(limited to 'synthetic/conclusion.tex')

diff --git a/synthetic/conclusion.tex b/synthetic/conclusion.tex
index bb6dd17..c5a982f 100644
--- a/synthetic/conclusion.tex
+++ b/synthetic/conclusion.tex
@@ -1,6 +1,7 @@
+
 Even though synthetic dataset are promising regarding users' data protection, in itself it does not bring guaranties regarding attribute inference attack.
 For future work we suggest that applying fairness regularization during the training of the generator could be a way to remove bias toward sensitive attributes.
 
 Concerning membership inference attack, synthetic data reduce the overall risk while still leaving an attack surface on some outliers points.
 Differential privacy is a way to reduce the risk on outliers but removing entirely the risk while keeping some level of utility is impossible. 
-Hence more work in this direction is required.
\ No newline at end of file
+Hence more work in this direction is required.
-- 
cgit v1.2.3

