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An (ε, δ)-Differential Privacy Analysis of Adaptive Noise Calibration via Hockey-Stick Divergence

A two-stage adaptive mechanism that first obtains a privacy-preserving estimate of how spread out the data are, using the interquartile range (IQR) as the measure of dispersion, and then uses that estimate to shrink the noise added to the query answer whenever the data are concentrated.