Fetching the paper…
Reading the bibliography…
Differential privacy formalises privacy-preserving mechanisms that provide access to a database.
On the likelihood that one unknown probability exceeds another in view of the evidence of two samples
W.R. Thompson · 1933
Earlier work this paper cites.
Optimal Statistical Decisions
Morris H. DeGroot · 1970
Earlier work this paper cites.
Convergence of estimates under dimensionality restrictions
Lucien LeCam · 1973
Earlier work this paper cites.
Robust Statistics
Peter J. Huber · 1981
Earlier work this paper cites.
Statistical Decision Theory and Bayesian Analysis
James O. Berger · 1985
Earlier work this paper cites.
Robust Statistics: The Approach Based on Influence Functions
Frank R. Hampel, Elvezio M. Ronchetti, Peter J. Rousseeuw, and Werner A. Stahel · 1986
Earlier work this paper cites.
Stochastic Lipschitz functions
VI Norkin · 1986
Earlier work this paper cites.
Assouad, Fano, and Le Cam
Bin Yu · 1997
Earlier work this paper cites.
Mathematical Statistics: Basic Ideas and Selected Topics , volume 1
Peter J. Bickel and Kjell A. Doksum · 2001
Earlier work this paper cites.
Stability and generalization
Olivier Bousquet and André Elisseeff · 2002
Earlier work this paper cites.
Refinements of Pinsker’s inequality
Alexei A. Fedotov, Peter Harremoës, and Flemming Topsoe · 2003
Earlier work this paper cites.
Inequalities for the L 1 {L}_{1} deviation of the empirical distribution
Tsachy Weissman, Erik Ordentlich, Gadiel Seroussi, Sergio Verdu, and Marcelo J Weinberger · 2003
Earlier work this paper cites.
Game theory, maximum entropy, minimum discrepancy, and robust Bayesian decision theory
Peter D. Grünwald and A. Philip Dawid · 2004
Earlier work this paper cites.
Differential privacy
Cynthia Dwork · 2006
Cited alongside, same era.
Calibrating noise to sensitivity in private data analysis
Cynthia Dwork, Frank McSherry, Kobbi Nissim, and Adam Smith · 2006
Cited alongside, same era.
Mechanism design via differential privacy
Frank McSherry and Kunal Talwar · 2007
Cited alongside, same era.
Differential privacy and robust statistics
Cynthia Dwork and Jing Lei · 2009
Cited alongside, same era.
Differential privacy for statistics: What we know and what we want to learn
Cynthia Dwork and Adam Smith · 2009
Cited alongside, same era.
A statistical framework for differential privacy
Larry Wasserman and Shuheng Zhou · 2010
Cited alongside, same era.
Bayesian inference under differential privacy
Yonghui Xiao and Li Xiong · 2012
Later among the works it cites.
Broadening the scope of differential privacy using metrics
Konstantinos Chatzikokolakis, Miguel E. Andres, Nicolas Emilio Bordenabe, and Catuscia Palamidessi · 2013
Closest in time.
Local privacy and statistical minimax rates
John C Duchi, Michael Jordan, and Martin J Wainwright · 2013
Closest in time.
Differential privacy for functions and functional data
Rob Hall, Alessandro Rinaldo, and Larry Wasserman · 2013
Closest in time.
(More) efficient reinforcement learning via posterior sampling
Ian Osband, Daniel Russo, and Benjamin Van Roy · 2013
Closest in time.
Robust and private Bayesian inference
Christos Dimitrakakis, Blaine Nelson, Aikaterini Mitrokotsa, and Benjamin Rubinstein · 2014
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Oliver Williams and Frank McSherry · 2010
Cited alongside, same era.
Differentially private empirical risk minimization
Kamalika Chaudhuri, Claire Monteleoni, and Anand D. Sarwate · 2011
Cited alongside, same era.
Random differential privacy
Rob Hall, Alessandro Rinaldo, and Larry Wasserman · 2011
Cited alongside, same era.
Convergence rates for differentially private statistical estimation
Kamalika Chaudhuri and Daniel Hsu · 2012
Cited alongside, same era.
The safe Bayesian: Learning the learning rate via the mixability gap
Peter Grünwald · 2012
Cited alongside, same era.
Differentially-private learning and information theory
Darakhshan Mir · 2012
Cited alongside, same era.
Closest in time.
Pufferfish: A framework for mathematical privacy definitions
Daniel Kifer and Ashwin Machanavajjhala · 2014
Closest in time.
Robust and private Bayesian inference
Christos Dimitrakakis, Blaine Nelson, Aikaterini Mitrokotsa, and Benjamin Rubinstein · 2015
Closest in time.
The reusable holdout: Preserving validity in adaptive data analysis
Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Aaron Roth · 2015
Closest in time.
The composition theorem for differential privacy
Peter Kairouz, Sewoong Oh, and Pramod Viswanath · 2015
Closest in time.
Privacy for free: Posterior sampling and stochastic gradient monte carlo
Yu-Xiang Wang, Stephen E. Fienberg, and Alex Smola · 2015
Closest in time.
The differential privacy of Bayesian inference, 2015
Shijie Zheng · 2015
Closest in time.
On the differential privacy of Bayesian inference
Zuhe Zhang, Benjamin I. P. Rubinstein, and Christos Dimitrakakis · 2016
Closest in time.