articleMay 31, 2009Closed access

Differential privacy and robust statistics

Microsoft (United States) · University of California, Berkeley

Indexed incrossref

Abstract

We show by means of several examples that robust statistical estimators present an excellent starting point for differentially private estimators. Our algorithms use a new paradigm for differentially private mechanisms, which we call Propose-Test-Release (PTR), and for which we give a formal definition and general composition theorems.

Citation impact

630
total citations
FWCI
26.71
Percentile
100%
References
22
Citations per year

Authors

2

Topics & keywords

Keywords
  • Differential privacy
  • Estimator
  • Computer science
  • Robust statistics
  • Differential (mechanical device)
  • Point (geometry)
  • Theoretical computer science
  • Statistics
No related works found for this paper.