Differential Privacy Survey.pdf

dwork_2008.pdf
Preview of Differential Privacy Survey
🔗 Source: cs.ucdavis.edu
📊 Size: 527 KB
👤 Author: Author
⬇️ Downloads: 113

Summary

Differential privacy ensures that the removal or addition of a single database item does not substantially affect the outcome of any analysis, providing a mathematically rigorous means of coping with distributional information that may be disclosive. A randomized function K gives ϵ-differential privacy if for all data sets D1 and D2 differing on at most one element, and all S ⊆Range(K), Pr[K(D1) ∈S] ≤exp(ϵ) × Pr[K(D2) ∈S]. This definition addresses concerns about leakage of personal information and is independent of computational power and auxiliary information available to the adversary/user.

Description

Differential privacy ensures that the removal or addition of a single database item does not substantially affect the outcome of any analysis, providing a...

Technical Information

  • File Format: PDF
  • File Size: 527 KB
  • Pages: 19
  • Language: EN
  • Author: Author
  • Total Downloads: 113
  • Last Updated: 1 week ago

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