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Techniques based on randomized response enable the collection of potentially sensitive data from clients in a privacy-preserving manner with strong local differential privacy guarantees.
Randomized response: A survey technique for eliminating evasive answer bias
Stanley L. Warner · 1965
Earlier work this paper cites.
Maximum likelihood from incomplete data via the em algorithm
A. P. Dempster, N. M. Laird, and D. B. Rubin · 1977
Earlier work this paper cites.
Categorical Data Analysis
A. Agresti · 2002
Earlier work this paper cites.
Theory of point estimation
Erich Leo Lehmann and George Casella · 2003
Earlier work this paper cites.
Differential privacy
Cynthia Dwork · 2006
Earlier work this paper cites.
A note on differential privacy: Defining resistance to arbitrary side information
Shiva Prasad Kasiviswanathan and Adam Smith · 2008
Earlier work this paper cites.
What can we learn privately?
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi Nissim, Sofya Raskhodnikova, and Adam Smith · 2008
Earlier work this paper cites.
Fast private norm estimation and heavy hitters
Joe Kilian, André Madeira, Martin J Strauss, and Xuan Zheng · 2008
Earlier work this paper cites.
Differentially private recommender systems: building privacy into the net
Frank McSherry and Ilya Mironov · 2009
Cited alongside, same era.
Differentially private aggregation of distributed time-series with transformation and encryption
Vibhor Rastogi and Suman Nath · 2010
Cited alongside, same era.
Probabilistic inference and differential privacy
Oliver Williams and Frank McSherry · 2010
Cited alongside, same era.
Differential privacy and the risk-utility tradeoff for multi-dimensional contingency tables
Stephen E Fienberg, Alessandro Rinaldo, and Xiaolin Yang · 2011
Cited alongside, same era.
Differentially private online learning
Prateek Jain, Pravesh Kothari, and Abhradeep Thakurta · 2011
Cited alongside, same era.
Privacy-preserving aggregation of time-series data
Distributed private heavy hitters
Justin Hsu, Sanjeev Khanna, and Aaron Roth · 2012
Later among the works it cites.
Fool’s gold: an illustrated critique of differential privacy
Jane R Bambauer, Krish Muralidhar, and Rathindra Sarathy · 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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On finding k-cliques in k-partite graphs
M Mirghorbani and P Krokhmal · 2013
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Learning Statistics with Privacy, aided by the Flip of a Coin
Google Research Blog · 2014
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Rappor: Randomized aggregatable privacy-preserving ordinal response
Ulfar Erlingsson, Vasyl Pihur, and Aleksandra Korolova · 2014
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Elaine Shi, T-H Hubert Chan, Eleanor G Rieffel, Richard Chow, and Dawn Song · 2011
Cited alongside, same era.
Differentially private continual monitoring of heavy hitters from distributed streams
T-H Hubert Chan, Mingfei Li, Elaine Shi, and Wenchang Xu · 2012
Cited alongside, same era.
The top 500 sites on the web
Alexa
Cited in the paper.
Unwanted Software Policy
Google Inc
Cited in the paper.
Peter Kairouz, Sewoong Oh, and Pramod Viswanath · 2014
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