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Individual differential privacy: A utility preserving formulation of differential privacy guarantees

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Academic year: 2020

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Figure 1. Comparison of the noise distributions required by -DP via calibration to the smooth sensitivity (for γ = 2 and γ = 3, where γ is the noise parameter) and -iDP via calibration to the local sensitivity (with a Laplace distribution), where the que
Figure 2. Absolute error in the median (y-axis) for  in the range [0.5, 1] (x-axis) and several data sets

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