Lower bounds in differential privacy

Computer Science – Cryptography and Security

Scientific paper

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Corrected some minor errors and typos. To appear in Theory of Cryptography Conference (TCC) 2012

Scientific paper

This is a paper about private data analysis, in which a trusted curator holding a confidential database responds to real vector-valued queries. A common approach to ensuring privacy for the database elements is to add appropriately generated random noise to the answers, releasing only these {\em noisy} responses. In this paper, we investigate various lower bounds on the noise required to maintain different kind of privacy guarantees.

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