Construct · 1 fields · 1 citations

approximate differential privacy: a standalone construct

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

● anchor · a standalone construct Nearest construct by meaning·not indexed

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 relaxation of differential privacy that allows the epsilon bound to fail with a small probability delta, enabling Gaussian noise.

In privacy-enhancing computation, approximate differential privacy refers to a relaxation of differential privacy that allows the epsilon bound to fail with a small probability delta, enabling Gaussian noise. This meaning comes from Dwork (2006) in Lecture Notes in Computer Science.[1]

Unit
Recovery means
Measured by

Run it through the Collider, or take the citations with you.

See how approximate differential privacy sits against neighbouring constructs in the Collider, or export every reference on this page in one click.

Open in Collider Export BibTeX Report this entry

Nearby constructs

delta3 fields · 4 citationsjingle · one word, three constructs noise4 fields · 5 citationsjingle · one word, four constructs privacy3 fields · 3 citationsjingle · one word, three carriers

References

Dwork, C., Kenthapadi, K., McSherry, F., Mironov, I., & Naor, M. (2006). Our Data, Ourselves: Privacy Via Distributed Noise Generation. In Lecture Notes in Computer Science (pp. 486-503). Springer Berlin Heidelberg. https://doi.org/10.1007/11761679_29

Cited on this page?

Confirm your construct, or correct us.

If your work is cited behind one of these entries, you know better than we do whether we captured the meaning right. Confirm it, suggest an edit, or dispute it, and your name goes on the entry as an author who has checked it, linked to your ORCID.

Claim your construct