Titlebook: Differential Privacy for Dynamic Data; Jerome Le Ny Book 2020 The Author(s), under exclusive license to Springer Nature Switzerland AG 202

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COLIC

可忽略

A Two-Stage Architecture for Differentially Private Filtering,y. A privacy-sensitive signal that we want to process in order to publish real-time statistics is first shaped by certain pre-filter, then perturbed to obtain a differentially private signal, and finally post-filtered to mitigate the effect of the noise and the pre-filter. A general methodology is p

縮減了

invert

變形

變形

分解

Julie Hollenbach,Robin Alex McDonaldnput signals or at the output of a desired filter. We introduce concrete examples of adjacency relations for individual and collective privacy-sensitive input signals. We then describe the Laplace and Gaussian mechanisms to enforce .- or .-differential privacy with respect to these adjacency relatio

hyperuricemia

讓步

Thinking and Speaking: A Dynamic Approachforcing equalization mechanism, for the situation where we have some knowledge about the statistics of the privacy-sensitive input signals, which moreover are assumed to be stationary. The mechanisms described use as second stage in the architecture a Wiener filter, and the performance of the overal