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We study the accuracy of differentially private mechanisms in the continual release model.
On measures of entropy and information
Alfred Rényi · 1961
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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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Mechanism design via differential privacy
Frank McSherry and Kunal Talwar · 2007
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Private and continual release of statistics
T.-H. Hubert Chan, Elaine Shi, and Dawn Song · 2010
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Differential privacy under continual observation
Cynthia Dwork, Moni Naor, Toniann Pitassi, and Guy N. Rothblum · 2010
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Pan-private streaming algorithms
Cynthia Dwork, Moni Naor, Toniann Pitassi, Guy N. Rothblum, and Sergey Yekhanin · 2010
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Boosting and differential privacy
Cynthia Dwork, Guy N. Rothblum, and Salil P. Vadhan · 2010
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On the geometry of differential privacy
Moritz Hardt and Kunal Talwar · 2010
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A simple and practical algorithm for differentially private data release
Moritz Hardt, Katrina Ligett, and Frank McSherry · 2012
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Differentially private online learning
Prateek Jain, Pravesh Kothari, and Abhradeep Thakurta · 2012
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Private decayed predicate sums on streams
Jean Bolot, Nadia Fawaz, S. Muthukrishnan, Aleksandar Nikolov, and Nina Taft · 2013
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(Nearly) optimal algorithms for private online learning in full-information and bandit settings
Abhradeep Guha Thakurta and Adam Smith · 2013
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Nearly optimal private LASSO
Kunal Talwar, Abhradeep Thakurta, and Li Zhang · 2015
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Concentrated differential privacy: Simplifications, extensions, and lower bounds
Mark Bun and Thomas Steinke · 2016
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The price of differential privacy for online learning
Naman Agarwal and Karan Singh · 2017
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Private continual release of real-valued data streams
Victor Perrier, Hassan Jameel Asghar, and Dali Kaafar · 2019
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A framework for adversarially robust streaming algorithms
Omri Ben-Eliezer, Rajesh Jayaram, David P. Woodruff, and Eylon Yogev · 2020
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Census disclosure avoidance system, 2020
Census Bureau · 2020
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Adversarially robust streaming algorithms via differential privacy
Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Yossi Matias, and Uri Stemmer · 2020
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Permute-and-flip: A new mechanism for differentially private selection
Ryan McKenna and Daniel R Sheldon · 2020
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Differentially private histograms under continual observation: Streaming selection into the unknown
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Tight lower bounds for differentially private selection
Thomas Steinke and Jonathan R. Ullman · 2017
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Fingerprinting codes and the price of approximate differential privacy
Mark Bun, Jonathan Ullman, and Salil Vadhan · 2018
Cited alongside, same era.
Differentially private continual release of graph statistics
Shuang Song, Susan Little, Sanjay Mehta, Staal A. Vinterbo, and Kamalika Chaudhuri · 2018
Cited alongside, same era.
Adrian Rivera Cardoso and Ryan Rogers · 2021
Closest in time.
Differentially private algorithms for graphs under continual observation
Hendrik Fichtenberger, Monika Henzinger, and Wolfgang Ost · 2021
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Separating adaptive streaming from oblivious streaming
Haim Kaplan, Yishay Mansour, Kobbi Nissim, and Uri Stemmer · 2021
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Jonathan Ullman, 2021 · 2021
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