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Differential privacy comes equipped with multiple analytical tools for the design of private data analyses.
Csiszár’s f-divergences-basic properties
Ferdinand Österreicher · 2002
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When random sampling preserves privacy
Kamalika Chaudhuri and Nina Mishra · 2006
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Bounds on the sample complexity for private learning and private data release
Amos Beimel, Shiva Prasad Kasiviswanathan, and Kobbi Nissim · 2010
Earlier work this paper cites.
Boosting and differential privacy
Cynthia Dwork, Guy N Rothblum, and Salil Vadhan · 2010
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What can we learn privately?
Shiva Prasad Kasiviswanathan, Homin K Lee, Kobbi Nissim, Sofya Raskhodnikova, and Adam Smith · 2011
Earlier work this paper cites.
Probabilistic relational reasoning for differential privacy
Gilles Barthe, Boris Köpf, Federico Olmedo, and Santiago Zanella Béguelin · 2012
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On sampling, anonymization, and differential privacy or, k-anonymization meets differential privacy
Ninghui Li, Wahbeh Qardaji, and Dong Su · 2012
Earlier work this paper cites.
Beyond differential privacy: Composition theorems and relational logic for f-divergences between probabilistic programs
Gilles Barthe and Federico Olmedo · 2013
Earlier work this paper cites.
Characterizing the sample complexity of private learners
Amos Beimel, Kobbi Nissim, and Uri Stemmer · 2013
Earlier work this paper cites.
Private empirical risk minimization: Efficient algorithms and tight error bounds
Raef Bassily, Adam Smith, and Abhradeep Thakurta · 2014
Earlier work this paper cites.
Bounds on the sample complexity for private learning and private data release
Amos Beimel, Hai Brenner, Shiva Prasad Kasiviswanathan, and Kobbi Nissim · 2014
Cited alongside, same era.
The algorithmic foundations of differential privacy
Cynthia Dwork and Aaron Roth · 2014
Cited alongside, same era.
Differentially private release and learning of threshold functions
Mark Bun, Kobbi Nissim, Uri Stemmer, and Salil Vadhan · 2015
Cited alongside, same era.
Privacy for free: Posterior sampling and stochastic gradient monte carlo
Yu-Xiang Wang, Stephen Fienberg, and Alex Smola · 2015
Cited alongside, same era.
Deep learning with differential privacy
Martín Abadi, Andy Chu, Ian Goodfellow, H Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang · 2016
Cited alongside, same era.
Proving differential privacy via probabilistic couplings
Gilles Barthe, Marco Gaboardi, Benjamin Grégoire, Justin Hsu, and Pierre-Yves Strub · 2016
Learning with differential privacy: Stability, learnability and the sufficiency and necessity of erm principle
Yu-Xiang Wang, Jing Lei, and Stephen E. Fienberg · 2016
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Differentially private variational inference for non-conjugate models
Joonas Jälkö, Antti Honkela, and Onur Dikmen · 2017
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The composition theorem for differential privacy
Peter Kairouz, Sewoong Oh, and Pramod Viswanath · 2017
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Rényi differential privacy
Ilya Mironov · 2017
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Cs7880: Rigorous approaches to data privacy
Jonathan Ullman · 2017
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The complexity of differential privacy
Salil P. Vadhan · 2017
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Cited alongside, same era.
Concentrated differential privacy: Simplifications, extensions, and lower bounds
Mark Bun and Thomas Steinke · 2016
Cited alongside, same era.
Concentrated differential privacy
Cynthia Dwork and Guy N Rothblum · 2016
Cited alongside, same era.
The complexity of computing the optimal composition of differential privacy
Jack Murtagh and Salil Vadhan · 2016
Cited alongside, same era.
f f -divergence inequalities
Igal Sason and Sergio Verdú · 2016
Cited alongside, same era.
Mijung Park, James R. Foulds, Kamalika Chaudhuri, and Max Welling
Cited in the paper.
Variational bayes in private settings (VIPS)
Mijung Park, James R. Foulds, Kamalika Chaudhuri, and Max Welling
Cited in the paper.
Improving the gaussian mechanism for differential privacy: Analytical calibration and optimal denoising
Borja Balle and Yu-Xiang Wang · 2018
Closest in time.
Composable and versatile privacy via truncated cdp
Mark Bun, Cynthia Dwork, Guy Rothblum, and Thomas Steinke · 2018
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Subsampled rényi differential privacy and analytical moments accountant
Yu-Xiang Wang, Borja Balle, and Shiva Kasiviswanathan · 2018
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