tables: Moved from preliminaries
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@ -9,7 +9,7 @@ of the following works assume that data sets are privacy-protected \emph{indepen
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On the other side, algorithms that are based on differential privacy are not concerned with so specific attacks as, by definition, differential privacy considers that the adversary may possess any kind of background knowledge.
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Later on, data dependencies were also considered for differential privacy algorithms, to account for the extra privacy loss entailed by them.
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\includetable{table-micro}
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\includetable{micro}
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\subsection{Finite observation}
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@ -5,7 +5,7 @@ When continuously publishing statistical data, usually in the form of counts, th
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In theory differential privacy makes no assumptions about the background knowledge available to the adversary.
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In practice, as we observe in Table~\ref{tab:statistical}, data dependencies (e.g.,~correlations) arising in the continuous publication setting are frequently (but without it being the rule) considered as attacks in the proposed algorithms.
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\includetable{table-statistical}
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\includetable{statistical}
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\subsection{Finite observation}
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