Fetching the paper…
Reading the bibliography…
We address the problem of goodness-of-fit testing for H\"older continuous densities under local differential privacy constraints.
“Hypothesis testing for densities and high-dimensional multinomials: Sharp local minimax rates”
Sivaraman Balakrishnan and Larry Wasserman · 1927
Earlier work this paper cites.
“Approximation theorems of mathematical statistics”
Robert Serfling · 1980
Earlier work this paper cites.
“Adaptive hypothesis testing using wavelets”
Vladimir Spokoiny · 1996
Earlier work this paper cites.
Cristina Butucea, Angelika Rohde and Lukas Steinberger · 2003
Earlier work this paper cites.
“Calibrating noise to sensitivity in private data analysis”
Cynthia Dwork, Frank McSherry, Kobbi Nissim and Adam Smith · 2006
Earlier work this paper cites.
“A statistical framework for differential privacy”
Larry Wasserman and Shuheng Zhou · 2010
Earlier work this paper cites.
“Concentration inequalities: A nonasymptotic theory of independence”
Stéphane Boucheron, Gábor Lugosi and Pascal Massart · 2013
Earlier work this paper cites.
“Extremal mechanisms for local differential privacy”
Peter Kairouz, Sewoong Oh and Pramod Viswanath · 2014
Earlier work this paper cites.
“Revisiting differentially private hypothesis tests for categorical data”
Yue Wang, Jaewoo Lee and Daniel Kifer · 2015
Earlier work this paper cites.
“A new approach for testing properties of discrete distributions”
Ilias Diakonikolas and Daniel Kane · 2016
Cited alongside, same era.
“Differentially private chi-squared hypothesis testing: Goodness of fit and independence testing”
Marco Gaboardi, Hyun Lim, Ryan Rogers and Salil Vadhan · 2016
Cited alongside, same era.
“Extremal mechanisms for local differential privacy”
Peter Kairouz, Sewoong Oh and Pramod Viswanath · 2016
Cited alongside, same era.
“Priv’IT: private and sample efficient identity testing”
Bryan Cai, Constantinos Daskalakis and Gautam Kamath · 2017
Cited alongside, same era.
“An automatic inequality prover and instance optimal identity testing”
Gregory Valiant and Paul Valiant · 2017
Cited alongside, same era.
“Differentially private testing of identity and closeness of discrete distributions”
Jayadev Acharya, Ziteng Sun and Huanyu Zhang · 2018
“Locally private hypothesis testing”
Or Sheffet · 2018
Later among the works it cites.
“Classification under local differential privacy”
Thomas. Berrett and Cristina Butucea · 2019
Later among the works it cites.
“The role of interactivity in local differential privacy”
Matthew Joseph, Jieming Mao, Seth Neel and Aaron Roth · 2019
Later among the works it cites.
“Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms”
Thomas. Berrett and Cristina Butucea · 2020
Later among the works it cites.
“Local differential privacy: Elbow effect in optimal density estimation and adaptation over Besov ellipsoids”
Cristina Butucea, Amandine Dubois, Martin Kroll and Adrien Saumard · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
“Differentially private identity and equivalence testing of discrete distributions”
Maryam Aliakbarpour, Ilias Diakonikolas and Ronitt Rubinfeld · 2018
Cited alongside, same era.
“Minimax optimal procedures for locally private estimation”
John Duchi, Michael Jordan and Martin Wainwright · 2018
Cited alongside, same era.
“Local private hypothesis testing: Chi-square tests”
Marco Gaboardi and Ryan Rogers · 2018
Cited alongside, same era.
Julien Chhor and Alexandra Carpentier · 2020
Later among the works it cites.
Joseph Lam-Weil, Béatrice Laurent and Jean-Michel Loubes · 2020
Later among the works it cites.
“Geometrizing rates of convergence under local differential privacy constraints”
Angelika Rohde and Lukas Steinberger · 2020
Later among the works it cites.
“Test without Trust: Optimal Locally Private Distribution Testing”
Jayadev Acharya, Clément. Canonne, Cody Freitag and Himanshu Tyagi · 2076
Closest in time.