On the Information Leakage Envelope of the Gaussian Mechanism

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Authors: Sara Saeidian
Cited by: 0

Abstract

We study the pointwise maximal leakage (PML) envelope of the Gaussian mechanism, which characterizes the smallest information leakage bound that holds with high probability under arbitrary post-processing. For the Gaussian mechanism with a Gaussian secret, we derive a closed-form expression for the deterministic PML envelope for sufficiently small failure probabilities. We then extend this result to general unbounded secrets by identifying a sufficient condition under which the envelope coincides with the Gaussian case. In particular, we show that strongly log-concave priors satisfy this condition via an application of the Brascamp-Lieb inequality.

Fields of Study & Subjects

Privacy-Preserving Technologies in Data Cryptography and Data Security Wireless Communication Security Techniques

Publication details

Journal / source
arXiv (Cornell University)
Publication date
13 January 2026
Document type
Preprint