From bf5b05a84e877391fddd1b0a0b752f71ec05e901 Mon Sep 17 00:00:00 2001 From: Jan Aalmoes Date: Wed, 11 Sep 2024 00:10:50 +0200 Subject: Preuve existe f pas cca equivalant exists f BA pas randomguess --- synthetic/bck/introduction.tex | 9 +++++++++ 1 file changed, 9 insertions(+) create mode 100644 synthetic/bck/introduction.tex (limited to 'synthetic/bck/introduction.tex') diff --git a/synthetic/bck/introduction.tex b/synthetic/bck/introduction.tex new file mode 100644 index 0000000..e8969c2 --- /dev/null +++ b/synthetic/bck/introduction.tex @@ -0,0 +1,9 @@ +\subsection{Research questions} +\label{sec:question} + +%\textbf{What is the impact of using synthetic data instead of real data on users' privacy when training machine learning models?} +\textbf{How does using synthetic data instead of real data affect users' privacy in the context of training machine learning models?} + +User's privacy and neural network clash at two levels: membership inference and attribute inference. +Membership inference refers to the possibility of infering weather or not a data record belongs to the training data. +Attribute inference refers to how a trained model can be leveraged to infer a sensitive attribute such as the race or the gender. -- cgit v1.2.3