Fetching the paper…
Reading the bibliography…
Bayesian inference is an important technique throughout statistics.
Statistical Inference 002 edition
C. George and R. L.Berger · 2001
Earlier work this paper cites.
The Laplace distribution and generalizations
S. Kotz, T. J. Kozubowski, and K. Podgorski · 2001
Earlier work this paper cites.
Introduction to Probability Models, Tenth Edition
H. Anton and C. Rorres · 2005
Earlier work this paper cites.
Practical privacy: the sulq framework
A. Blum, C. Dwork, F. McSherry, and K. Nissim · 2005
Earlier work this paper cites.
Differential privacy
C. Dwork · 2006
Earlier work this paper cites.
Calibrating noise to sensitivity in private data analysis
C. Dwork, F. McSherry, K. Nissim, and A. Smith · 2006
Earlier work this paper cites.
On the multivariate laplace distribution
T. Eltoft, T. Kim, and T.-W. Lee · 2006
Earlier work this paper cites.
Data mining: concepts and techniques, Second Edition
K. M and H. J, W · 2006
Earlier work this paper cites.
Mechanism design via differential privacy
F. McSherry and K. Talwar · 2007
Earlier work this paper cites.
A learning theory approach to non-interactive database privacy
A. Blum, K. Ligett, and A. Roth · 2008
Cited alongside, same era.
Differential privacy: a survey of results
C. Dwork · 2008
Cited alongside, same era.
On the shapes of bilateral gamma densities
U. K¨¹chler and S. Tappe · 2008
Cited alongside, same era.
Efficient, differentially private point estimators
A. Smith · 2008
Cited alongside, same era.
Privacy integrated queries: an extensible platform for privacy-preserving data analysis
McSherry · 2009
Cited alongside, same era.
Relationship privacy: output perturbation for queries with joins
V. Rastogi, M. Hay, G. Miklau, and D. Suciu · 2009
Cited alongside, same era.
Probabilistic inference and differential privacy
O. Williams and F. McSherry · 2010
Later among the works it cites.
Differential privacy via wavelet transforms
X. Xiao, G. Wang, and J. Gehrke · 2010
Later among the works it cites.
Differentially Private Data Release through Multidimensional Partitioning
Y. Xiao, L. Xiong, and C. Yuan · 2010
Later among the works it cites.
Differentially private data cubes: optimizing noise sources and consistency
B. Ding, M. Winslett, J. Han, and Z. Li · 2011
Later among the works it cites.
No free lunch in data privacy
D. Kifer and A. Machanavajjhala · 2011
Later among the works it cites.
How much is enough? choosing for differential privacy
J. Lee and C. Clifton · 2011
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
A firm foundation for private data analysis
C. Dwork · 2010
Cited alongside, same era.
Boosting the accuracy of differentially-private histograms through consistency
M. Hay, V. Rastogiz, G. Miklauy, and D. Suciu · 2010
Cited alongside, same era.
Optimizing linear counting queries under differential privacy
C. Li, M. Hay, V. Rastogi, G. Miklau, and A. McGregor · 2010
Cited alongside, same era.
ireduct: differential privacy with reduced relative errors
X. Xiao, G. Bender, M. Hay, and J. Gehrke · 2011
Later among the works it cites.
An adaptive mechanism for accurate query answering under differential privacy
L. Chao and M. Gerome · 2012
Closest in time.
Integrating historical noisy answers for improving data utility under differential privacy
S. Chen, Z. Shuigeng, and S. S. Bhowmick · 2012
Closest in time.