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Differential privacy is a recent notion of privacy for statistical databases that provides rigorous, meaningful confidentiality guarantees, even in the presence of an attacker with access to arbitrary side information.
Randomized response: A survey technique for eliminating evasive answer bias
S. L. Warner · 1965
Earlier work this paper cites.
Theoretical Statistics
D. R. Cox and D. V. Hinkley · 1974
Earlier work this paper cites.
Towards a methodology for statistical disclosure control
T. Dalenius · 1977
Earlier work this paper cites.
Data-swapping: A technique for disclosure control
T. Dalenius and S. Reiss · 1982
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Security-control methods for statistical databases: a comparative study
N. R. Adam and J. C. Wortmann · 1989
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Bias reduction of maximum likelihood estimates
D. Firth · 1993
Earlier work this paper cites.
Algebraic algorithms for sampling from conditional distributions
P. Diaconis and B. Sturmfels · 1998
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An optimal estimating equation based on the first three cumulants
B. Li · 1998
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Privacy-preserving data mining
R. Agrawal and R. Srikant · 2000
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Tools for privacy preserving data mining
C. Clifton, M. Kantarcioglu, J. Vaidya, X. Lin, and M. Y. Zhu · 2002
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Revealing information while preserving privacy
I. Dinur and K. Nissim · 2003
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Limiting privacy breaches in privacy preserving data mining
A. V. Evfimievski, J. Gehrke, and R. Srikant · 2003
Cited alongside, same era.
Privacy-preserving datamining on vertically partitioned databases
C. Dwork and K. Nissim · 2004
Cited alongside, same era.
Making the release of confidential data from multi-way tables count
S. E. Fienberg and A. B. Slavkovic · 2004
Cited alongside, same era.
Statistical Disclosure Limitation Beyond the Margins: Characterization of Joint Distributions for Contingency Tables
A. Slavkovic · 2004
Cited alongside, same era.
Practical privacy: The SuLQ framework
A. Blum, C. Dwork, F. McSherry, and K. Nissim · 2005
Cited alongside, same era.
Privacy-enhanced linking
L. Sweeney · 2005
Cited alongside, same era.
An ad omnia approach to defining and achieving private data analysis
C. Dwork · 2007
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The price of privacy and the limits of LP decoding
C. Dwork, F. McSherry, and K. Talwar · 2007
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Differential privacy in mechanism design
F. McSherry and K. Talwar · 2007
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Smooth sensitivity and sampling in private data analysis
K. Nissim, S. Raskhodnikova, and A. Smith · 2007
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The boundary between privacy and utility in data publishing
V. Rastogi, S. Hong, and D. Suciu · 2007
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A learning theory approach to non-interactive database privacy
A. Blum, K. Ligett, and A. Roth · 2008
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Differential privacy
C. Dwork · 2006
Cited alongside, same era.
Our data, ourselves: Privacy via distributed noise generation
C. Dwork, K. Kenthapadi, F. McSherry, I. Mironov, and M. Naor · 2006
Cited alongside, same era.
Calibrating noise to sensitivity in private data analysis
C. Dwork, F. McSherry, K. Nissim, and A. Smith · 2006
Cited alongside, same era.
Models and methods for privacy-preserving data publishing and analysis (tutorial slides)
J. Gehrke · 2006
Cited alongside, same era.
Privacy, accuracy, and consistency too: a holistic solution to contingency table release
B. Barak, K. Chaudhuri, C. Dwork, S. Kale, F. McSherry, and K. Talwar · 2007
Cited alongside, same era.
Differential privacy: A survey of results
C. Dwork · 2008
Closest in time.
On lower bounds for noise in private analysis of statistical databases
C. Dwork and S. Yekahnin · 2008
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What can we learn privately?
S. P. Kasiviswanathan, H. K. Lee, K. Nissim, S. Raskhodnikova, and A. Smith · 2008
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A note on differential privacy: Defining resistance to arbitrary side information
S. P. Kasiviswanathan and A. Smith · 2008
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Private data analysis via output perturbation
K. Nissim · 2008
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