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We propose a novel mechanism for answering sets of count- ing queries under differential privacy.
Optimal design of experiments
F. Pukelsheim · 1993
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Convex optimization
S. Boyd and L. Vandenberghe · 2004
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Our data, ourselves: Privacy via distributed noise generation
C. Dwork, K. Kenthapadi, F. McSherry, I. Mironov, and M. Naor · 2006
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Calibrating noise to sensitivity in private data analysis
C. Dwork, F. McSherry, K. Nissim, and A. Smith · 2006
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Privacy, accuracy, and consistency: A holistic solution to contingency table release
B. Barak, K. Chaudhuri, C. Dwork, S. Kale, F. McSherry, and K. Talwar · 2007
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Universally utility-maximizing privacy mechanisms
A. Ghosh, T. Roughgarden, and M. Sundararajan · 2009
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Privacy integrated queries: An extensible platform for privacy-preserving data analysis
F. McSherry · 2009
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Differentially private recommender systems: Building privacy into the netflix prize contenders
F. McSherry and I. Mironov · 2009
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A multiplicative weights mechanism for privacy-preserving data analysis
M. Hardt and G. Rothblum · 2010
Cited alongside, same era.
Boosting the accuracy of differentially private histograms through consistency
M. Hay, V. Rastogi, G. Miklau, 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.
Interactive privacy via the median mechanism
A. Roth and T. Roughgarden · 2010
Cited alongside, same era.
Differential privacy via wavelet transforms
X. Xiao, G. Wang, and J. Gehrke · 2010
Cited alongside, same era.
Differentially private data release through multidimensional partitioning
Y. Xiao, L. Xiong, and C. Yuan · 2010
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Differentially private data cubes: optimizing noise sources and consistency
B. Ding, M. Winslett, J. Han, and Z. Li · 2011
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A firm foundation for private data analysis
C. Dwork · 2011
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iReduct: Differential privacy with reduced relative errors
X. Xiao, G. Bender, M. Hay, and J. Gehrke · 2011
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Differentially private spatial decompositions
G. Cormode, M. Procopiuc, E. Shen, D. Srivastava, and T. Yu · 2012
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Measuring the achievable error of query sets under differential privacy
C. Li and G. Miklau · 2012
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http://abel.ee.ucla.edu/cvxopt/
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http://dbgroup.cs.umass.edu/code/
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http://www.mcs.anl.gov/hs/software/dsdp/
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