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An interactive mechanism is an algorithm that stores a data set and answers adaptively chosen queries to it.
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 D. Smith · 2006
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On the complexity of differentially private data release: efficient algorithms and hardness results
Cynthia Dwork, Moni Naor, Omer Reingold, Guy N. Rothblum, and Salil P. Vadhan · 2009
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Boosting and differential privacy
Cynthia Dwork, Guy N. Rothblum, and Salil P. Vadhan · 2010
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A multiplicative weights mechanism for privacy-preserving data analysis
Moritz Hardt and Guy N. Rothblum · 2010
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Interactive privacy via the median mechanism
Aaron Roth and Tim Roughgarden · 2010
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The algorithmic foundations of differential privacy
Cynthia Dwork and Aaron Roth · 2014
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The composition theorem for differential privacy
Peter Kairouz, Sewoong Oh, and Pramod Viswanath · 2015
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Concentrated differential privacy: Simplifications, extensions, and lower bounds
Mark Bun and Thomas Steinke · 2016
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Concentrated differential privacy
Cynthia Dwork and Guy N. Rothblum · 2016
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Privacy odometers and filters: Pay-as-you-go composition
Ryan M. Rogers, Salil P. Vadhan, Aaron Roth, and Jonathan R. Ullman · 2016
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Understanding the sparse vector technique for differential privacy
Min Lyu, Dong Su, and Ninghui Li · 2017
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Rényi differential privacy
Ilya Mironov · 2017
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The complexity of differential privacy
Salil P. Vadhan · 2017
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Composable and versatile privacy via truncated CDP
Mark Bun, Cynthia Dwork, Guy N. Rothblum, and Thomas Steinke · 2018
Cited alongside, same era.
Improving sparse vector technique with renyi differential privacy
Yuqing Zhu and Yu-Xiang Wang · 2020
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Algorithmic stability for adaptive data analysis
Raef Bassily, Kobbi Nissim, Adam D. Smith, Thomas Steinke, Uri Stemmer, and Jonathan R. Ullman · 2021
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Individual privacy accounting via a rényi filter
Vitaly Feldman and Tijana Zrnic · 2021
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Mathias Lécuyer · 2021
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Concurrent composition of differential privacy
Salil P. Vadhan and Tianhao Wang · 2021
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Gaussian differential privacy
Jinshuo Dong, Aaron Roth, and Weijie J. Su · 2022
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The complexity of computing the optimal composition of differential privacy
Jack Murtagh and Salil P. Vadhan · 2018
Cited alongside, same era.
A programming framework for opendp, 2020
Michael Hay, Marco Gaboardi, and Salil Vadhan · 2020
Cited alongside, same era.
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Concurrent composition theorems for differential privacy
Salil Vadhan and Wanrong Zhang · 2022
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Fully adaptive composition in differential privacy
Justin Whitehouse, Aaditya Ramdas, Ryan Rogers, and Zhiwei Steven Wu · 2022
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