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Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy
We present the dithered Gaussian mechanism, an alternative to the discrete Gaussian mechanism for differential privacy that discretizes the private output rather than the noise distribution itself.By interpreting this discretization as post-processing of the Gaussian mechanism, our construction dire
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