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text: Minor corrections

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Manos Katsomallos
2021-10-09 12:09:59 +02:00
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commit b25a3c44ab
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text/preliminaries/privacy.tex
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@ -291,8 +291,8 @@ queries can be problematic, since a single, outlier value could change the outpu
\paragraph{Popular privacy mechanisms}
\label{subsec:prv-mech}
A typical example of a differential privacy mechanism is the \emph{Laplace mechanism}~\cite{dwork2014algorithmic}.
It draws randomly a value from the probability distribution of $\textrm{Laplace}(\mu, b)$, where $\mu$ stands for the location parameter and $b > 0$ is the scale parameter (Figure~\ref{fig:laplace}).
In our case, $\mu$ is equal to the original output value of a query function, and $b$ is the sensitivity of the query function divided by $\varepsilon$.