Approximate Differential Privacy of the ℓ2 Mechanism

We study the 2 mechanism for computing a ddimensional 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 → ∞.