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Hypothesis testing plays a central role in statistical inference, and is used in many settings where privacy concerns are paramount.
Economic Control of Quality of Manufactured Product
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Continuous inspection schemes
Ewan S. Page · 1954
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Ewan S. Page · 1955
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On optimum methods in quickest detection problems
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Procedures for reacting to a change in distribution
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Optimal detection of a change in distribution
Moshe Pollak · 1985
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George V. Moustakides · 1986
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Average run lengths of an optimal method of detecting a change in distribution
Moshe Pollak · 1987
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Sequential changepoint detection in quality control and dynamical systems
Tze Leung Lai · 1995
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Mathematical Statistics
Aleksandr Alekseevich Borovkov · 1999
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Prospective time periodic geographical disease surveillance using a scan statistic
Martin Kulldorff · 2001
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The Complexity of Massive Data Set Computations
Ziv Bar-Yossef · 2002
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On choosing and bounding probability metrics
Alison L. Gibbs and Francis E. Su · 2002
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Our data, ourselves: Privacy via distributed noise generation
Cynthia Dwork, Krishnaram Kenthapadi, Frank McSherry, Ilya Mironov, and Moni Naor · 2006
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Calibrating noise to sensitivity in private data analysis
Cynthia Dwork, Frank McSherry, Kobbi Nissim, and Adam Smith · 2006
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Sequential change-point detection when unknown parameters are present in the pre-change distribution
Yajun Mei · 2006
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Mechanism design via differential privacy
Frank McSherry and Kunal Talwar · 2007
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Smooth sensitivity and sampling in private data analysis
Kobbi Nissim, Sofya Raskhodnikova, and Adam Smith · 2007
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What can we learn privately?
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi Nissim, Sofya Raskhodnikova, and Adam Smith · 2008
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A note on differential privacy: Defining resistance to arbitrary side information
Shiva Prasad Kasiviswanathan and Adam D. Smith · 2008
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Differential privacy for clinical trial data: Preliminary evaluations
Duy Vu and Aleksandra Slavković · 2009
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On the geometry of differential privacy
Moritz Hardt and Kunal Talwar · 2010
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Differentially private empirical risk minimization
Kamalika Chaudhuri, Claire Monteleoni, and Anand D. Sarwate · 2011
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Privacy-preserving statistical estimation with optimal convergence rates
Adam Smith · 2011
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Unconditional differentially private mechanisms for linear queries
Aditya Bhaskara, Daniel Dadush, Ravishankar Krishnaswamy, and Kunal Talwar · 2012
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Characterizing the sample complexity of private learners
Amos Beimel, Kobbi Nissim, and Uri Stemmer · 2013
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Local privacy and statistical minimax rates
John C. Duchi, Michael I. Jordan, and Martin J. Wainwright · 2013
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Privacy-preserving data sharing for genome-wide association studies
Caroline Uhler, Aleksandra Slavković, and Stephen E. Fienberg · 2013
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Impossibility of differentially private universally optimal mechanisms
Hai Brenner and Kobbi Nissim · 2014
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Fingerprinting codes and the price of approximate differential privacy
Mark Bun, Jonathan Ullman, and Salil Vadhan · 2014
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The algorithmic foundations of differential privacy
Cynthia Dwork and Aaron Roth · 2014
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RAPPOR: Randomized aggregatable privacy-preserving ordinal response
Úlfar Erlingsson, Vasyl Pihur, and Aleksandra Korolova · 2014
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A short note on distinguishing discrete distributions
Clément L. Canonne · 2017
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Priv’it: Private and sample efficient identity testing
Bryan Cai, Constantinos Daskalakis, and Gautam Kamath · 2017
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Learning with privacy at scale
Differential Privacy Team, Apple · 2017
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The modernization of statistical disclosure limitation at the U.S. census bureau, 2017
Aref N. Dajani, Amy D. Lauger, Phyllis E. Singer, Daniel Kifer, Jerome P. Reiter, Ashwin Machanavajjhala, Simson L. Garfinkel, Scot A. Dahl, Matthew Graham, Vishesh Karwa, Hang Kim, Philip Lelerc, Ian M. Schmutte, William N. Sexton, Lars Vilhuber, and John M. Abowd · 2017
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Generalization for adaptively-chosen estimators via stable median
Vitaly Feldman and Thomas Steinke · 2017
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A new class of private chi-square tests
Daniel Kifer and Ryan M. Rogers · 2017
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Sample complexity bounds on differentially private learning via communication complexity
Vitaly Feldman and David Xiao · 2014
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Quickest change detection
Venugopal V. Veeravalli and Taposh Banerjee · 2014
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Sharp finite-time iterated-logarithm martingale concentration
Akshay Balsubramani · 2015
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Generalization in adaptive data analysis and holdout reuse
Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Aaron Roth · 2015
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Preserving statistical validity in adaptive data analysis
Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Aaron Roth · 2015
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The reusable holdout: Preserving validity in adaptive data analysis
Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Aaron Roth · 2015
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Differentially private chi-squared test by unit circle mechanism
Kazuya Kakizaki, Jun Sakuma, and Kazuto Fukuchi · 2017
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Information-theoretic analysis of generalization capability of learning algorithms
Aolin Xu and Maxim Raginsky · 2017
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Differentially private identity and closeness testing of discrete distributions
Maryam Aliakbarpour, Ilias Diakonikolas, and Ronitt Rubinfeld · 2018
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Inspectre: Privately estimating the unseen
Jayadev Acharya, Gautam Kamath, Ziteng Sun, and Huanyu Zhang · 2018
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Differentially private uniformly most powerful tests for binomial data
Jordan Awan and Aleksandra Slavkovic · 2018
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Differentially private testing of identity and closeness of discrete distributions
Jayadev Acharya, Ziteng Sun, and Huanyu Zhang · 2018
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Privacy amplification by subsampling: Tight analyses via couplings and divergences
Borja Balle, Gilles Barthe, and Marco Gaboardi · 2018
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Differentially private ANOVA testing
Zachary Campbell, Andrew Bray, Anna Ritz, and Adam Groce · 2018
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Differentially private change-point detection
Rachel Cummings, Sara Krehbiel, Yajun Mei, Rui Tuo, and Wanrong Zhang · 2018
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The right complexity measure in locally private estimation: It is not the Fisher information
John C. Duchi and Feng Ruan · 2018
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Calibrating noise to variance in adaptive data analysis
Vitaly Feldman and Thomas Steinke · 2018
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Local private hypothesis testing: Chi-square tests
Marco Gaboardi and Ryan Rogers · 2018
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Finite sample differentially private confidence intervals
Vishesh Karwa and Salil Vadhan · 2018
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Locally private hypothesis testing
Or Sheffet · 2018
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Socialscienceone
Social Science One · 2018
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Statistical approximating distributions under differential privacy
Yue Wang, Daniel Kifer, Jaewoo Lee, and Vishesh Karwa · 2018
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Test without Trust: Optimal Locally Private Distribution Testing
Jayadev Acharya, Clément L. Canonne, Cody Freitag, and Himanshu Tyagi · 2019
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Differentially private nonparametric hypothesis testing
Simon Couch, Zeki Kazan, Kaiyan Shi, Andrew Bray, and Adam Groce · 2019
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Improved differentially private analysis of variance
Marika Swanberg, Ira Globus-Harris, Iris Griffith, Anna Ritz, Adam Groce, and Andrew Bray · 2019
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