Construct · 1 fields · 1 citations

Gaussian differential privacy: a standalone construct

One name. One construct. A landmark on the map.

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Gaussiandifferential privacy1 CONSTRUCTGaussian differentialDONG · PRIVACY-ENHANCING

A single standalone construct; nearby constructs are located against it in the Collider. Tap a field for its definition, unit, and measures.

Privacy-enhancing computation

a privacy definition based on hypothesis-testing trade-off functions, with a one-parameter Gaussian family that composes and subsamples cleanly.

In privacy-enhancing computation, Gaussian differential privacy refers to a privacy definition based on hypothesis-testing trade-off functions, with a one-parameter Gaussian family that composes and subsamples cleanly. This meaning comes from Dong (2022) in Journal of the Royal Statistical Society Series B: Statistical Methodology.[1]

Unit
Recovery means
Measured by

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Nearby constructs

family3 fields · 3 citationsjingle · one word, three constructsprivacy3 fields · 3 citationsjingle · one word, three carriersseries3 fields · 3 citationsjingle · one word, three constructs

References

  1. Dong, J., Roth, A., & Su, W. J. (2022). Gaussian Differential Privacy. Journal of the Royal Statistical Society Series B: Statistical Methodology, 84(1), 3-37. https://doi.org/10.1111/rssb.12454

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