Fetching the paper…
Reading the bibliography…
We study the problem of estimating a set of $d$ linear queries with respect to some unknown distribution $\mathbf{p}$ over a domain $\mathcal{J}=[J]$ based on a sensitive data set of $n$ individuals under the constraint of local differential privacy.
Randomized response: A survey technique for eliminating evasive answer bias
Stanley L. Warner · 1965
Earlier work this paper cites.
Our data, ourselves: Privacy via distributed noise generation
Cynthia Dwork, Krishnaram Kenthapadi, Frank McSherry, Ilya Mironov, and Moni Naor · 2006
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 multiplicative weights mechanism for privacy-preserving data analysis
Moritz Hardt and Guy N Rothblum · 2010
Earlier work this paper cites.
Local privacy and statistical minimax rates
John C Duchi, Michael I Jordan, and Martin J Wainwright · 2013
Earlier work this paper cites.
Local privacy, data processing inequalities, and statistical minimax rates
John C Duchi, Michael I Jordan, and Martin J Wainwright · 2013
Earlier work this paper cites.
The geometry of differential privacy: the sparse and approximate cases
Aleksandar Nikolov, Kunal Talwar, and Li Zhang · 2013
Cited alongside, same era.
Rappor: Randomized aggregatable privacy-preserving ordinal response
Úlfar Erlingsson, Vasyl Pihur, and Aleksandra Korolova · 2014
Cited alongside, same era.
Local, private, efficient protocols for succinct histograms
Raef Bassily and Adam Smith · 2015
Cited alongside, same era.
Differentially private learning of structured discrete distributions
Ilias Diakonikolas, Moritz Hardt, and Ludwig Schmidt · 2015
Cited alongside, same era.
Lecture Notes. 18.S997: High Dimensional Statistics
Philippe Rigollet · 2015
Cited alongside, same era.
Algorithmic stability for adaptive data analysis
Raef Bassily, Kobbi Nissim, Adam Smith, Thomas Steinke, Uri Stemmer, and Jonathan Ullman · 2016
Cited alongside, same era.
Discrete distribution estimation under local privacy
Peter Kairouz, Keith Bonawitz, and Daniel Ramage · 2016
Later among the works it cites.
Practical locally private heavy-hitters
Raef Bassily, Kobbi Nissim, Uri Stemmer, and Abhradeep Thakurta · 2017
Later among the works it cites.
Learning new words, 2017
A.G. Thakurta, A.H. Vyrros, U.S. Vaishampayan, G. Kapoor, J. Freudiger, V.R. Sridhar, and D. Davidson · 2017
Later among the works it cites.
Jayadev Acharya, Ziteng Sun, and Huanyu Zhang · 2018
Closest in time.
Heavy hitters and the structure of local privacy
Mark Bun, Jelani Nelson, and Uri Stemmer · 2018
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Metric characterization of random variables and random processes
Valeriĭ Buldygin
Cited in the paper.
Min Ye and Alexander Barg · 2018
Closest in time.