text: Minor corrections
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@ -230,7 +230,7 @@ The calculation of FPL (Equation~\ref{eq:fpl-2}) becomes:
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The authors propose solutions to bound the temporal privacy loss, under the presence of weak to moderate correlation, in both finite and infinite data publishing scenarios.
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In the latter case, they try to find a value for $\varepsilon$ for which the backward and forward privacy loss are equal.
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In the former, they similarly try to balance the backward and forward privacy loss while they allocate more $\varepsilon$ at the first and last timestamps, since they have higher impact to the privacy loss of the next and previous ones.
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In the former, they similarly try to balance the backward and forward privacy loss while they allocate more $\varepsilon$ at the first and last timestamps, since they have higher impact on the privacy loss of the next and previous ones.
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This way they achieve an overall constant temporal privacy loss throughout the time series.
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According to the technique's intuition, stronger correlation result in higher privacy loss.
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