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The collection and analysis of telemetry data from users' devices is routinely performed by many software companies.
Randomized response: A survey technique for eliminating evasive answer bias
S. L. Warner · 1965
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Single machine scheduling with release dates
M. X. Goemans, M. Queyranne, A. S. Schulz, M. Skutella, and Y. Wang · 2002
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Limiting privacy breaches in privacy preserving data mining
A. Evfimievski, J. Gehrke, and R. Srikant · 2003
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A framework for high-accuracy privacy-preserving mining
S. Agrawal and J. R. Haritsa · 2005
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Calibrating noise to sensitivity in private data analysis
C. Dwork, F. McSherry, K. Nissim, and A. Smith · 2006
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Improved approximation algorithms for broadcast scheduling
N. Bansal, D. Coppersmith, and M. Sviridenko · 2008
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Private and continual release of statistics
T. H. Chan, E. Shi, and D. Song · 2010
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Differential privacy in new settings
C. Dwork · 2010
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Differential privacy under continual observation
C. Dwork, M. Naor, T. Pitassi, and G. N. Rothblum · 2010
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Pan-private streaming algorithms
C. Dwork, M. Naor, T. Pitassi, G. N. Rothblum, and S. Yekhanin · 2010
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A statistical framework for differential privacy
L. Wasserman and S. Zhou · 2010
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Distributed private heavy hitters
J. Hsu, S. Khanna, and A. Roth · 2012
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Concentration inequalities: A nonasymptotic theory of independence
S. Boucheron, G. Lugosi, and P. Massart · 2013
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Local privacy and statistical minimax rates
J. C. Duchi, M. I. Jordan, and M. J. Wainwright · 2013
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Local privacy and minimax bounds: Sharp rates for probability estimation
J. C. Duchi, M. J. Wainwright, and M. I. Jordan · 2013
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Blowfish privacy: tuning privacy-utility trade-offs using policies
X. He, A. Machanavajjhala, and B. Ding · 2014
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Differentially private event sequences over infinite streams
G. Kellaris, S. Papadopoulos, X. Xiao, and D. Papadias · 2014
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Local, private, efficient protocols for succinct histograms
R. Bassily and A. D. Smith · 2015
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Differential privacy in telco big data platform
X. Hu, M. Yuan, J. Yao, Y. Deng, L. Chen, Q. Yang, H. Guan, and J. Zeng · 2015
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Minimax optimal procedures for locally private estimation
J. C. Duchi, M. J. Wainwright, and M. I. Jordan · 2016
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Building a RAPPOR with the unknown: Privacy-preserving learning of associations and data dictionaries
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Private empirical risk minimization: Efficient algorithms and tight error bounds
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The algorithmic foundations of differential privacy
C. Dwork, A. Roth, et al · 2014
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RAPPOR: randomized aggregatable privacy-preserving ordinal response
Ú. Erlingsson, V. Pihur, and A. Korolova · 2014
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G. C. Fanti, V. Pihur, and Ú. Erlingsson · 2016
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Discrete distribution estimation under local privacy
P. Kairouz, K. Bonawitz, and D. Ramage · 2016
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Practical locally private heavy hitters
R. Bassily, K. Nissim, U. Stemmer, and A. Thakurta · 2017
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Privacy loss in Apple’s implementation of differential privacy on MacOS 10.125
J. Tang, A. Korolova, X. Bai, X. Wang, and X. Wang · 2017
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