1 code implementation • 14 Jun 2023 • Martin Aumüller, Christian Janos Lebeda, Boel Nelson, Rasmus Pagh
Under a concentration assumption on $\mathcal{D}$, we show how to exploit skew in the vector $\boldsymbol{\sigma}$, obtaining a (zero-concentrated) differentially private mean estimate with $\ell_2$ error proportional to $\|\boldsymbol{\sigma}\|_1$.
no code implementations • 6 Jan 2023 • Christian Janos Lebeda, Jakub Tětek
Chan, Li, Shi, and Xu [PETS 2012] describe a differentially private version of the Misra-Gries sketch, but the amount of noise it adds can be large and scales linearly with the size of the sketch: the more accurate the sketch is, the more noise this approach has to add.