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PrivÍT: Private and Sample Efficient Identity Testing

PrivÍT: Private and Sample Efficient Identity Testing

29 March 2017
Bryan Cai
C. Daskalakis
Gautam Kamath
ArXivPDFHTML

Papers citing "PrivÍT: Private and Sample Efficient Identity Testing"

17 / 17 papers shown
Title
On Differentially Private U Statistics
On Differentially Private U Statistics
Kamalika Chaudhuri
Po-Ling Loh
Shourya Pandey
Purnamrita Sarkar
FedML
66
0
0
06 Jul 2024
Robust Kernel Hypothesis Testing under Data Corruption
Robust Kernel Hypothesis Testing under Data Corruption
Antonin Schrab
Ilmun Kim
48
3
0
30 May 2024
The Test of Tests: A Framework For Differentially Private Hypothesis
  Testing
The Test of Tests: A Framework For Differentially Private Hypothesis Testing
Zeki Kazan
Kaiyan Shi
Adam Groce
Andrew Bray
25
9
0
08 Feb 2023
Anonymized Histograms in Intermediate Privacy Models
Anonymized Histograms in Intermediate Privacy Models
Badih Ghazi
Pritish Kamath
Ravi Kumar
Pasin Manurangsi
PICV
117
1
0
27 Oct 2022
Privacy Aware Experimentation over Sensitive Groups: A General Chi
  Square Approach
Privacy Aware Experimentation over Sensitive Groups: A General Chi Square Approach
R. Friedberg
Ryan M. Rogers
29
3
0
17 Aug 2022
Private High-Dimensional Hypothesis Testing
Private High-Dimensional Hypothesis Testing
Shyam Narayanan
FedML
40
11
0
03 Mar 2022
Pure Differential Privacy from Secure Intermediaries
Pure Differential Privacy from Secure Intermediaries
Albert Cheu
Chao Yan
FedML
27
9
0
19 Dec 2021
Inference under Information Constraints III: Local Privacy Constraints
Inference under Information Constraints III: Local Privacy Constraints
Jayadev Acharya
C. Canonne
Cody R. Freitag
Ziteng Sun
Himanshu Tyagi
41
35
0
20 Jan 2021
Locally private non-asymptotic testing of discrete distributions is
  faster using interactive mechanisms
Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms
Thomas B. Berrett
C. Butucea
35
34
0
26 May 2020
A Primer on Private Statistics
A Primer on Private Statistics
Gautam Kamath
Jonathan R. Ullman
38
48
0
30 Apr 2020
Connecting Robust Shuffle Privacy and Pan-Privacy
Connecting Robust Shuffle Privacy and Pan-Privacy
Victor Balcer
Albert Cheu
Matthew Joseph
Jieming Mao
FedML
20
41
0
20 Apr 2020
Differentially Private Assouad, Fano, and Le Cam
Differentially Private Assouad, Fano, and Le Cam
Jayadev Acharya
Ziteng Sun
Huanyu Zhang
FedML
23
58
0
14 Apr 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
37
36
0
28 May 2019
Differentially Private Confidence Intervals for Empirical Risk
  Minimization
Differentially Private Confidence Intervals for Empirical Risk Minimization
Yue Wang
Daniel Kifer
Jaewoo Lee
27
33
0
11 Apr 2018
Locally Private Hypothesis Testing
Locally Private Hypothesis Testing
Or Sheffet
17
52
0
09 Feb 2018
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
47
14
0
18 Jul 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
138
0
07 Feb 2016
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