ACentralLimitTheoremforDifferentiallyPrivate QueryAnswering

Neural Information Processing Systems 

The central question is,therefore, tounderstand which noise distribution optimizes the privacy-accuracy trade-off, especially when the dimension of the answer vector ishigh.

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