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Differentially Private Identity and Closeness Testing of Discrete
  Distributions

Differentially Private Identity and Closeness Testing of Discrete Distributions

18 July 2017
Maryam Aliakbarpour
Ilias Diakonikolas
R. Rubinfeld
    FedML
ArXivPDFHTML

Papers citing "Differentially Private Identity and Closeness Testing of Discrete Distributions"

11 / 11 papers shown
Title
Robust Kernel Hypothesis Testing under Data Corruption
Robust Kernel Hypothesis Testing under Data Corruption
Antonin Schrab
Ilmun Kim
48
3
0
30 May 2024
A Primer on Private Statistics
A Primer on Private Statistics
Gautam Kamath
Jonathan R. Ullman
33
48
0
30 Apr 2020
Locally Private Hypothesis Selection
Locally Private Hypothesis Selection
Sivakanth Gopi
Gautam Kamath
Janardhan Kulkarni
Aleksandar Nikolov
Zhiwei Steven Wu
Huanyu Zhang
13
26
0
21 Feb 2020
Private Identity Testing for High-Dimensional Distributions
Private Identity Testing for High-Dimensional Distributions
C. Canonne
Gautam Kamath
Audra McMillan
Jonathan R. Ullman
Lydia Zakynthinou
24
36
0
28 May 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
13
72
0
27 Nov 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
18
58
0
07 Aug 2018
Privately Learning High-Dimensional Distributions
Privately Learning High-Dimensional Distributions
Gautam Kamath
Jerry Li
Vikrant Singhal
Jonathan R. Ullman
FedML
62
148
0
01 May 2018
INSPECTRE: Privately Estimating the Unseen
INSPECTRE: Privately Estimating the Unseen
Jayadev Acharya
Gautam Kamath
Ziteng Sun
Huanyu Zhang
6
21
0
28 Feb 2018
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
10
74
0
17 Jul 2017
BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model
BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model
Brendan Avent
Aleksandra Korolova
David Zeber
Torgeir Hovden
B. Livshits
FedML
22
98
0
02 May 2017
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
45
137
0
07 Feb 2016
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