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Differential privacy aims to provide means to maximize the accuracy of queries from statistical databases while minimizing the chances of identifying its records.
4
votes
1
answer
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Differential privacy on multiple queries – what is the behavior?
Differential privacy framework still continue to be obscure in the following case:
If I make a set of queries, I can join their output to restore the original data. For this issue we have composition …
5
votes
1
answer
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Differential Privacy: why $\delta$ negligible on the row numbers?
The definition of differential privacy says that an algorithm $M$ is $(\epsilon,\delta)$-differentially private if
$$P(M(x \in D) \in S)\leq e^\epsilon P(M(x \in D')\in S) + \delta$$
where $D,D'$ d …