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Private Identity Testing for High-Dimensional Distributions

Private Identity Testing for High-Dimensional Distributions

28 May 2019
C. Canonne
Gautam Kamath
Audra McMillan
Jonathan R. Ullman
Lydia Zakynthinou
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Papers citing "Private Identity Testing for High-Dimensional Distributions"

50 / 54 papers shown
Title
Private High-Dimensional Hypothesis Testing
Private High-Dimensional Hypothesis Testing
Shyam Narayanan
FedML
53
11
0
03 Mar 2022
Private Stochastic Convex Optimization: Optimal Rates in Linear Time
Private Stochastic Convex Optimization: Optimal Rates in Linear Time
Vitaly Feldman
Tomer Koren
Kunal Talwar
53
206
0
10 May 2020
Efficiently Estimating Erdos-Renyi Graphs with Node Differential Privacy
Efficiently Estimating Erdos-Renyi Graphs with Node Differential Privacy
Adam Sealfon
Jonathan R. Ullman
33
45
0
24 May 2019
Differentially Private Nonparametric Hypothesis Testing
Differentially Private Nonparametric Hypothesis Testing
Simon Couch
Zeki Kazan
Kaiyan Shi
Andrew Bray
Adam Groce
26
44
0
22 Mar 2019
Improved Differentially Private Analysis of Variance
Improved Differentially Private Analysis of Variance
Marika Swanberg
Ira Globus-Harris
Iris Griffith
Anna M. Ritz
Adam Groce
Andrew Bray
28
21
0
01 Mar 2019
The Cost of Privacy: Optimal Rates of Convergence for Parameter
  Estimation with Differential Privacy
The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy
T. Tony Cai
Yichen Wang
Linjun Zhang
51
165
0
12 Feb 2019
Lower bounds for testing graphical models: colorings and
  antiferromagnetic Ising models
Lower bounds for testing graphical models: colorings and antiferromagnetic Ising models
Ivona Bezáková
Antonio Blanca
Zongchen Chen
Daniel Stefankovic
Eric Vigoda
61
20
0
22 Jan 2019
The Structure of Optimal Private Tests for Simple Hypotheses
The Structure of Optimal Private Tests for Simple Hypotheses
C. Canonne
Gautam Kamath
Audra McMillan
Adam D. Smith
Jonathan R. Ullman
46
72
0
27 Nov 2018
Locally Private Gaussian Estimation
Locally Private Gaussian Estimation
Matthew Joseph
Janardhan Kulkarni
Jieming Mao
Zhiwei Steven Wu
FedML
62
38
0
20 Nov 2018
Private Algorithms Can Always Be Extended
Private Algorithms Can Always Be Extended
C. Borgs
J. Chayes
Adam D. Smith
Ilias Zadik
FedML
19
4
0
30 Oct 2018
The total variation distance between high-dimensional Gaussians with the
  same mean
The total variation distance between high-dimensional Gaussians with the same mean
Luc Devroye
Abbas Mehrabian
Tommy Reddad
45
225
0
19 Oct 2018
Revealing Network Structure, Confidentially: Improved Rates for
  Node-Private Graphon Estimation
Revealing Network Structure, Confidentially: Improved Rates for Node-Private Graphon Estimation
C. Borgs
J. Chayes
Adam D. Smith
Ilias Zadik
FedML
49
46
0
04 Oct 2018
Differentially Private Change-Point Detection
Differentially Private Change-Point Detection
Rachel Cummings
Sara Krehbiel
Y. Mei
Rui Tuo
Wanrong Zhang
18
30
0
29 Aug 2018
Test without Trust: Optimal Locally Private Distribution Testing
Test without Trust: Optimal Locally Private Distribution Testing
Jayadev Acharya
C. Canonne
Cody R. Freitag
Himanshu Tyagi
48
58
0
07 Aug 2018
The Right Complexity Measure in Locally Private Estimation: It is not
  the Fisher Information
The Right Complexity Measure in Locally Private Estimation: It is not the Fisher Information
John C. Duchi
Feng Ruan
56
50
0
14 Jun 2018
Learning and Testing Causal Models with Interventions
Learning and Testing Causal Models with Interventions
Jayadev Acharya
Arnab Bhattacharyya
C. Daskalakis
S. Kandasamy
CML
30
53
0
24 May 2018
Differentially Private Uniformly Most Powerful Tests for Binomial Data
Differentially Private Uniformly Most Powerful Tests for Binomial Data
Jordan Awan
Aleksandra B. Slavkovic
50
53
0
23 May 2018
Privately Learning High-Dimensional Distributions
Privately Learning High-Dimensional Distributions
Gautam Kamath
Jerry Li
Vikrant Singhal
Jonathan R. Ullman
FedML
81
151
0
01 May 2018
INSPECTRE: Privately Estimating the Unseen
INSPECTRE: Privately Estimating the Unseen
Jayadev Acharya
Gautam Kamath
Ziteng Sun
Huanyu Zhang
47
21
0
28 Feb 2018
Hadamard Response: Estimating Distributions Privately, Efficiently, and
  with Little Communication
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication
Jayadev Acharya
Ziteng Sun
Huanyu Zhang
40
148
0
13 Feb 2018
Locally Private Hypothesis Testing
Locally Private Hypothesis Testing
Or Sheffet
44
52
0
09 Feb 2018
Hypothesis Testing for High-Dimensional Multinomials: A Selective Review
Hypothesis Testing for High-Dimensional Multinomials: A Selective Review
Sivaraman Balakrishnan
Larry A. Wasserman
51
64
0
17 Dec 2017
Testing Conditional Independence of Discrete Distributions
Testing Conditional Independence of Discrete Distributions
C. Canonne
Ilias Diakonikolas
D. Kane
Alistair Stewart
87
55
0
30 Nov 2017
Finite Sample Differentially Private Confidence Intervals
Finite Sample Differentially Private Confidence Intervals
Vishesh Karwa
Salil P. Vadhan
41
193
0
10 Nov 2017
Differentially Private ANOVA Testing
Differentially Private ANOVA Testing
Zachary Campbell
Andrew Bray
Anna M. Ritz
Adam Groce
33
27
0
03 Nov 2017
Local Private Hypothesis Testing: Chi-Square Tests
Local Private Hypothesis Testing: Chi-Square Tests
Marco Gaboardi
Ryan M. Rogers
37
57
0
21 Sep 2017
Which Distribution Distances are Sublinearly Testable?
Which Distribution Distances are Sublinearly Testable?
C. Daskalakis
Gautam Kamath
John Wright
OOD
59
44
0
31 Jul 2017
Differentially Private Identity and Closeness Testing of Discrete
  Distributions
Differentially Private Identity and Closeness Testing of Discrete Distributions
Maryam Aliakbarpour
Ilias Diakonikolas
R. Rubinfeld
FedML
79
14
0
18 Jul 2017
Differentially Private Testing of Identity and Closeness of Discrete
  Distributions
Differentially Private Testing of Identity and Closeness of Discrete Distributions
Jayadev Acharya
Ziteng Sun
Huanyu Zhang
55
76
0
17 Jul 2017
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
Optimal Schemes for Discrete Distribution Estimation under Locally
  Differential Privacy
Optimal Schemes for Discrete Distribution Estimation under Locally Differential Privacy
Min Ye
A. Barg
54
178
0
02 Feb 2017
Square Hellinger Subadditivity for Bayesian Networks and its
  Applications to Identity Testing
Square Hellinger Subadditivity for Bayesian Networks and its Applications to Identity Testing
C. Daskalakis
Qinxuan Pan
15
48
0
09 Dec 2016
Testing Bayesian Networks
Testing Bayesian Networks
C. Canonne
Ilias Diakonikolas
D. Kane
Alistair Stewart
TPM
41
69
0
09 Dec 2016
Testing Ising Models
Testing Ising Models
C. Daskalakis
Nishanth Dikkala
Gautam Kamath
47
101
0
09 Dec 2016
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
Concentrated Differential Privacy: Simplifications, Extensions, and
  Lower Bounds
Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds
Mark Bun
Thomas Steinke
55
823
0
06 May 2016
Max-Information, Differential Privacy, and Post-Selection Hypothesis
  Testing
Max-Information, Differential Privacy, and Post-Selection Hypothesis Testing
Ryan M. Rogers
Aaron Roth
Adam D. Smith
Om Thakkar
103
82
0
13 Apr 2016
Concentrated Differential Privacy
Concentrated Differential Privacy
Cynthia Dwork
G. Rothblum
50
446
0
06 Mar 2016
Discrete Distribution Estimation under Local Privacy
Discrete Distribution Estimation under Local Privacy
Peter Kairouz
Kallista A. Bonawitz
Daniel Ramage
22
327
0
24 Feb 2016
A Minimax Theory for Adaptive Data Analysis
A Minimax Theory for Adaptive Data Analysis
Yu Wang
Jing Lei
S. Fienberg
106
18
0
13 Feb 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
Algorithmic Stability for Adaptive Data Analysis
Algorithmic Stability for Adaptive Data Analysis
Raef Bassily
Kobbi Nissim
Adam D. Smith
Thomas Steinke
Uri Stemmer
Jonathan R. Ullman
68
267
0
08 Nov 2015
Optimal Testing for Properties of Distributions
Optimal Testing for Properties of Distributions
Jayadev Acharya
C. Daskalakis
Gautam Kamath
47
160
0
21 Jul 2015
Testing Shape Restrictions of Discrete Distributions
Testing Shape Restrictions of Discrete Distributions
C. Canonne
Ilias Diakonikolas
Themis Gouleakis
R. Rubinfeld
47
86
0
13 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
Testing Closeness With Unequal Sized Samples
Testing Closeness With Unequal Sized Samples
B. Bhattacharya
Gregory Valiant
23
38
0
17 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
Testing Identity of Structured Distributions
Testing Identity of Structured Distributions
Ilias Diakonikolas
D. Kane
Vladimir Nikishkin
69
100
0
08 Oct 2014
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
Ulfar Erlingsson
Vasyl Pihur
Aleksandra Korolova
54
1,977
0
25 Jul 2014
Fingerprinting Codes and the Price of Approximate Differential Privacy
Fingerprinting Codes and the Price of Approximate Differential Privacy
Mark Bun
Jonathan R. Ullman
Salil P. Vadhan
FedML
45
211
0
13 Nov 2013
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