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Approximate Differential Privacy of the ell₂ Mechanism

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arxiv 2502.15929 v1 pith:3UY4LHC2 submitted 2025-02-21 cs.CR

Approximate Differential Privacy of the ell₂ Mechanism

classification cs.CR
keywords mechanismprivacyapproximatedifferentialacrossapproachingboundedcomputing
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We study the $\ell_2$ mechanism for computing a $d$-dimensional statistic with bounded $\ell_2$ sensitivity under approximate differential privacy. Across a range of privacy parameters, we find that the $\ell_2$ mechanism obtains lower error than the Laplace and Gaussian mechanisms, matching the former at $d=1$ and approaching the latter as $d \to \infty$.

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