ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2108.04303
  4. Cited By
Canonical Noise Distributions and Private Hypothesis Tests

Canonical Noise Distributions and Private Hypothesis Tests

9 August 2021
Jordan Awan
Salil P. Vadhan
ArXivPDFHTML

Papers citing "Canonical Noise Distributions and Private Hypothesis Tests"

26 / 26 papers shown
Title
Log-Concave and Multivariate Canonical Noise Distributions for
  Differential Privacy
Log-Concave and Multivariate Canonical Noise Distributions for Differential Privacy
Jordan Awan
Jinshuo Dong
32
9
0
09 Jun 2022
Subspace Differential Privacy
Subspace Differential Privacy
Jie Gao
Ruobin Gong
Fang-Yi Yu
35
17
0
26 Aug 2021
Robust hypothesis testing and distribution estimation in Hellinger
  distance
Robust hypothesis testing and distribution estimation in Hellinger distance
A. Suresh
OOD
25
6
0
03 Nov 2020
One Step to Efficient Synthetic Data
One Step to Efficient Synthetic Data
Jordan Awan
Zhanrui Cai
55
6
0
03 Jun 2020
Private Hypothesis Selection
Private Hypothesis Selection
Mark Bun
Gautam Kamath
Thomas Steinke
Zhiwei Steven Wu
51
91
0
30 May 2019
Elliptical Perturbations for Differential Privacy
Elliptical Perturbations for Differential Privacy
M. Reimherr
Jordan Awan
33
12
0
23 May 2019
Differentially Private Inference for Binomial Data
Differentially Private Inference for Binomial Data
Jordan Awan
Aleksandra B. Slavkovic
34
24
0
31 Mar 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
54
75
0
27 Nov 2018
Differentially Private Uniformly Most Powerful Tests for Binomial Data
Differentially Private Uniformly Most Powerful Tests for Binomial Data
Jordan Awan
Aleksandra B. Slavkovic
58
53
0
23 May 2018
Finite Sample Differentially Private Confidence Intervals
Finite Sample Differentially Private Confidence Intervals
Vishesh Karwa
Salil P. Vadhan
58
193
0
10 Nov 2017
Local Private Hypothesis Testing: Chi-Square Tests
Local Private Hypothesis Testing: Chi-Square Tests
Marco Gaboardi
Ryan M. Rogers
47
58
0
21 Sep 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
60
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
61
52
0
29 Mar 2017
Renyi Differential Privacy
Renyi Differential Privacy
Ilya Mironov
77
1,259
0
24 Feb 2017
A New Class of Private Chi-Square Tests
A New Class of Private Chi-Square Tests
Daniel Kifer
Ryan M. Rogers
53
25
0
24 Oct 2016
Deep Learning with Differential Privacy
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedML
SyDa
203
6,121
0
01 Jul 2016
Concentrated Differential Privacy: Simplifications, Extensions, and
  Lower Bounds
Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds
Mark Bun
Thomas Steinke
84
833
0
06 May 2016
Minimax Optimal Procedures for Locally Private Estimation
Minimax Optimal Procedures for Locally Private Estimation
John C. Duchi
Martin J. Wainwright
Michael I. Jordan
73
435
0
08 Apr 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
61
140
0
07 Feb 2016
Differentially Private Ordinary Least Squares
Differentially Private Ordinary Least Squares
Or Sheffet
41
116
0
09 Jul 2015
The Composition Theorem for Differential Privacy
The Composition Theorem for Differential Privacy
Peter Kairouz
Sewoong Oh
Pramod Viswanath
110
681
0
04 Nov 2013
Privacy-Preserving Data Sharing for Genome-Wide Association Studies
Privacy-Preserving Data Sharing for Genome-Wide Association Studies
Caroline Uhler
Aleksandra B. Slavkovic
S. Fienberg
68
151
0
03 May 2012
Differential Privacy for Functions and Functional Data
Differential Privacy for Functions and Functional Data
Rob Hall
Alessandro Rinaldo
Larry A. Wasserman
82
183
0
12 Mar 2012
Differentially Private Empirical Risk Minimization
Differentially Private Empirical Risk Minimization
Kamalika Chaudhuri
C. Monteleoni
Anand D. Sarwate
128
1,487
0
01 Dec 2009
On the Geometry of Differential Privacy
On the Geometry of Differential Privacy
Moritz Hardt
Kunal Talwar
110
463
0
21 Jul 2009
A statistical framework for differential privacy
A statistical framework for differential privacy
Larry A. Wasserman
Shuheng Zhou
102
485
0
16 Nov 2008
1