Sep 22, 2022 · We present a novel privacy mechanism, the Tabular DDP Mechanism, designed for high-dimensional statistics with incomplete correlation.

Sep 22, 2022 · The Tabular-DDP Mechanism satisfies dependent differential privacy, a variant of Pufferfish privacy; it works by building a causal model of the ...

We present a novel privacy mechanism, the Tabular DDP Mechanism, designed for high-dimensional statistics with incomplete correlation. The Tabular DDP Mechanism ...

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Improving utility for privacy-preserving analysis of correlated columns using pufferfish privacy. K Maughan, JP Near. arXiv preprint arXiv:2209.10908, 2022. 2 ...

Improving Utility for Privacy-Preserving Analysis of Correlated Columns using Pufferfish Privacy ... Solo: A Lightweight Static Analysis for Differential Privacy

This paper studies how to attain pufferfish privacy by the exponential mechanism, an additive noise scheme that generalizes Gaussian and Laplace noise. A ...

Improving Utility for Privacy-Preserving Analysis of Correlated Columns using Pufferfish Privacy · Krystal MaughanJoseph P. Near. Computer Science. ArXiv. 2022.

Pufferfish privacy achieves. ϵ- indistinguishability over a set of secret pairs in the disclosed data. This paper studies how to attain ϵ-pufferfish privacy.

Improving Utility for Privacy-Preserving Analysis of Correlated Columns using Pufferfish Privacy · Krystal MaughanJoseph P. Near. Computer Science. ArXiv. 2022.