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Finite Sample Differentially Private Confidence Intervals

Finite Sample Differentially Private Confidence Intervals

10 November 2017
Vishesh Karwa
Salil P. Vadhan
ArXivPDFHTML

Papers citing "Finite Sample Differentially Private Confidence Intervals"

19 / 19 papers shown
Title
Learning with Differentially Private (Sliced) Wasserstein Gradients
Learning with Differentially Private (Sliced) Wasserstein Gradients
David Rodríguez-Vítores
Clément Lalanne
Jean-Michel Loubes
FedML
67
0
0
03 Feb 2025
PrivÍT: Private and Sample Efficient Identity Testing
PrivÍT: Private and Sample Efficient Identity Testing
Bryan Cai
C. Daskalakis
Gautam Kamath
53
51
0
29 Mar 2017
A New Class of Private Chi-Square Tests
A New Class of Private Chi-Square Tests
Daniel Kifer
Ryan M. Rogers
40
25
0
24 Oct 2016
PSI (Ψ): a Private data Sharing Interface
PSI (Ψ): a Private data Sharing Interface
Marco Gaboardi
James Honaker
Gary King
Jack Murtagh
Kobbi Nissim
Jonathan R. Ullman
Salil P. Vadhan
36
23
0
14 Sep 2016
Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit
  and Independence Testing
Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing
Marco Gaboardi
H. Lim
Ryan M. Rogers
Salil P. Vadhan
52
139
0
07 Feb 2016
Principled Evaluation of Differentially Private Algorithms using DPBench
Principled Evaluation of Differentially Private Algorithms using DPBench
Michael Hay
Ashwin Machanavajjhala
G. Miklau
Yan Chen
Dan Zhang
20
154
0
15 Dec 2015
Private Posterior distributions from Variational approximations
Private Posterior distributions from Variational approximations
Vishesh Karwa
Daniel Kifer
Aleksandra B. Slavkovic
32
13
0
24 Nov 2015
Revisiting Differentially Private Hypothesis Tests for Categorical Data
Revisiting Differentially Private Hypothesis Tests for Categorical Data
Yue Wang
Jaewoo Lee
Daniel Kifer
30
38
0
11 Nov 2015
Differentially Private Ordinary Least Squares
Differentially Private Ordinary Least Squares
Or Sheffet
36
116
0
09 Jul 2015
Differentially Private Release and Learning of Threshold Functions
Differentially Private Release and Learning of Threshold Functions
Mark Bun
Kobbi Nissim
Uri Stemmer
Salil P. Vadhan
60
195
0
28 Apr 2015
Between Pure and Approximate Differential Privacy
Between Pure and Approximate Differential Privacy
Thomas Steinke
Jonathan R. Ullman
FedML
52
159
0
24 Jan 2015
Privacy and Statistical Risk: Formalisms and Minimax Bounds
Privacy and Statistical Risk: Formalisms and Minimax Bounds
Rina Foygel Barber
John C. Duchi
PILM
52
91
0
15 Dec 2014
Differentially Private Exponential Random Graphs
Differentially Private Exponential Random Graphs
Vishesh Karwa
Aleksandra B. Slavkovic
P. Krivitsky
54
42
0
16 Sep 2014
Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation
Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation
John C. Duchi
Michael I. Jordan
Martin J. Wainwright
56
147
0
26 May 2013
Differential Privacy for Functions and Functional Data
Differential Privacy for Functions and Functional Data
Rob Hall
Alessandro Rinaldo
Larry A. Wasserman
51
180
0
12 Mar 2012
Random Differential Privacy
Random Differential Privacy
Rob Hall
Alessandro Rinaldo
Larry A. Wasserman
70
89
0
12 Dec 2011
On the Geometry of Differential Privacy
On the Geometry of Differential Privacy
Moritz Hardt
Kunal Talwar
87
462
0
21 Jul 2009
A statistical framework for differential privacy
A statistical framework for differential privacy
Larry A. Wasserman
Shuheng Zhou
83
482
0
16 Nov 2008
What Can We Learn Privately?
What Can We Learn Privately?
S. Kasiviswanathan
Homin K. Lee
Kobbi Nissim
Sofya Raskhodnikova
Adam D. Smith
95
1,459
0
06 Mar 2008
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