Approximate Differential Privacy of the 2 Mechanism
Abstract
We study the 2 mechanism for computing a d-dimensional statistic with bounded 2 sensitivity under approximate differential privacy. Across a range of privacy parameters, we find that the 2 mechanism obtains lower error than the Laplace and Gaussian mechanisms, matching the former at d=1 and approaching the latter as d ∞.
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