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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

26 May 2020
Thomas B. Berrett
C. Butucea
ArXivPDFHTML

Papers citing "Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms"

27 / 27 papers shown
Title
Optimal Algorithms for Augmented Testing of Discrete Distributions
Optimal Algorithms for Augmented Testing of Discrete Distributions
Maryam Aliakbarpour
Piotr Indyk
R. Rubinfeld
Sandeep Silwal
71
0
0
01 Dec 2024
Optimal Private and Communication Constraint Distributed Goodness-of-Fit
  Testing for Discrete Distributions in the Large Sample Regime
Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime
Lasse Vuursteen
33
0
0
02 Nov 2024
Distribution-Aware Mean Estimation under User-level Local Differential
  Privacy
Distribution-Aware Mean Estimation under User-level Local Differential Privacy
Corentin Pla
Hugo Richard
Maxime Vono
FedML
34
0
0
12 Oct 2024
Federated Nonparametric Hypothesis Testing with Differential Privacy
  Constraints: Optimal Rates and Adaptive Tests
Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests
T. T. Cai
Abhinav Chakraborty
Lasse Vuursteen
FedML
35
1
0
10 Jun 2024
Evolving privacy: drift parameter estimation for discretely observed
  i.i.d. diffusion processes under LDP
Evolving privacy: drift parameter estimation for discretely observed i.i.d. diffusion processes under LDP
Chiara Amorino
A. Gloter
Hélene Halconruy
15
1
0
31 Jan 2024
Private Federated Learning with Autotuned Compression
Private Federated Learning with Autotuned Compression
Enayat Ullah
Christopher A. Choquette-Choo
Peter Kairouz
Sewoong Oh
FedML
15
6
0
20 Jul 2023
Minimax rate for multivariate data under componentwise local
  differential privacy constraints
Minimax rate for multivariate data under componentwise local differential privacy constraints
Chiara Amorino
A. Gloter
39
2
0
17 May 2023
Sparse Signal Detection in Heteroscedastic Gaussian Sequence Models:
  Sharp Minimax Rates
Sparse Signal Detection in Heteroscedastic Gaussian Sequence Models: Sharp Minimax Rates
J. Chhor
Rajarshi Mukherjee
Subhabrata Sen
21
5
0
15 Nov 2022
Adaptive pointwise density estimation under local differential privacy
Adaptive pointwise density estimation under local differential privacy
Sandra Schluttenhofer
Jan Johannes
129
2
0
15 Jun 2022
Network change point localisation under local differential privacy
Network change point localisation under local differential privacy
Mengchu Li
Thomas B. Berrett
Yi Yu
27
7
0
14 May 2022
Nonparametric extensions of randomized response for private confidence
  sets
Nonparametric extensions of randomized response for private confidence sets
Ian Waudby-Smith
Zhiwei Steven Wu
Aaditya Ramdas
10
9
0
17 Feb 2022
Robust Estimation of Discrete Distributions under Local Differential
  Privacy
Robust Estimation of Discrete Distributions under Local Differential Privacy
J. Chhor
Flore Sentenac
FedML
8
10
0
14 Feb 2022
On robustness and local differential privacy
On robustness and local differential privacy
Mengchu Li
Thomas B. Berrett
Yi Yu
19
24
0
03 Jan 2022
Uniformity Testing in the Shuffle Model: Simpler, Better, Faster
Uniformity Testing in the Shuffle Model: Simpler, Better, Faster
C. Canonne
Hongyi Lyu
FedML
11
6
0
20 Aug 2021
Locally differentially private estimation of nonlinear functionals of
  discrete distributions
Locally differentially private estimation of nonlinear functionals of discrete distributions
C. Butucea
Yann Issartel
13
3
0
08 Jul 2021
Goodness-of-fit testing for Hölder continuous densities under local
  differential privacy
Goodness-of-fit testing for Hölder continuous densities under local differential privacy
A. Dubois
Thomas B. Berrett
C. Butucea
19
4
0
06 Jul 2021
Locally private online change point detection
Locally private online change point detection
Thomas B. Berrett
Yi Yu
18
13
0
22 May 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
20
35
0
20 Jan 2021
Sharp Local Minimax Rates for Goodness-of-Fit Testing in multivariate
  Binomial and Poisson families and in multinomials
Sharp Local Minimax Rates for Goodness-of-Fit Testing in multivariate Binomial and Poisson families and in multinomials
J. Chhor
Alexandra Carpentier
8
8
0
26 Dec 2020
Contraction of $E_γ$-Divergence and Its Applications to Privacy
Contraction of EγE_γEγ​-Divergence and Its Applications to Privacy
S. Asoodeh
Mario Díaz
Flavio du Pin Calmon
31
0
0
20 Dec 2020
Phase transitions for support recovery under local differential privacy
Phase transitions for support recovery under local differential privacy
C. Butucea
A. Dubois
Adrien Saumard
FedML
14
3
0
30 Nov 2020
Strongly universally consistent nonparametric regression and
  classification with privatised data
Strongly universally consistent nonparametric regression and classification with privatised data
Thomas B. Berrett
László Gyorfi
Harro Walk
6
15
0
31 Oct 2020
Adaptive spectral density estimation by model selection under local
  differential privacy
Adaptive spectral density estimation by model selection under local differential privacy
Martin Kroll
17
2
0
08 Oct 2020
Interactive Inference under Information Constraints
Interactive Inference under Information Constraints
Jayadev Acharya
C. Canonne
Yuhan Liu
Ziteng Sun
Himanshu Tyagi
15
35
0
21 Jul 2020
Interactive versus non-interactive locally differentially private
  estimation: Two elbows for the quadratic functional
Interactive versus non-interactive locally differentially private estimation: Two elbows for the quadratic functional
C. Butucea
Angelika Rohde
Lukas Steinberger
37
14
0
10 Mar 2020
Geometric Lower Bounds for Distributed Parameter Estimation under
  Communication Constraints
Geometric Lower Bounds for Distributed Parameter Estimation under Communication Constraints
Yanjun Han
Ayfer Özgür
Tsachy Weissman
23
90
0
23 Feb 2018
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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