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Duff: A Dataset-Distance-Based Utility Function Family for the
  Exponential Mechanism

Duff: A Dataset-Distance-Based Utility Function Family for the Exponential Mechanism

8 October 2020
Andrés Munoz Medina
Jennifer Gillenwater
ArXivPDFHTML

Papers citing "Duff: A Dataset-Distance-Based Utility Function Family for the Exponential Mechanism"

7 / 7 papers shown
Title
Propose, Test, Release: Differentially private estimation with high
  probability
Propose, Test, Release: Differentially private estimation with high probability
Victor-Emmanuel Brunel
Marco Avella-Medina
FedML
28
22
0
19 Feb 2020
Average-Case Averages: Private Algorithms for Smooth Sensitivity and
  Mean Estimation
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation
Mark Bun
Thomas Steinke
59
74
0
06 Jun 2019
Benefits and Pitfalls of the Exponential Mechanism with Applications to
  Hilbert Spaces and Functional PCA
Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA
Jordan Awan
Ana M. Kenney
M. Reimherr
Aleksandra B. Slavkovic
11
34
0
30 Jan 2019
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
Ulfar Erlingsson
Vasyl Pihur
Aleksandra Korolova
59
1,977
0
25 Jul 2014
Differentially Private Empirical Risk Minimization: Efficient Algorithms
  and Tight Error Bounds
Differentially Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds
Raef Bassily
Adam D. Smith
Abhradeep Thakurta
FedML
95
371
0
27 May 2014
A Learning Theory Approach to Non-Interactive Database Privacy
A Learning Theory Approach to Non-Interactive Database Privacy
Avrim Blum
Katrina Ligett
Aaron Roth
68
550
0
10 Sep 2011
A statistical framework for differential privacy
A statistical framework for differential privacy
Larry A. Wasserman
Shuheng Zhou
89
482
0
16 Nov 2008
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