Fetching the paper…
Reading the bibliography…
Private regression has received attention from both database and security communities.
A theory of the learnable
L. G. Valiant · 1984
Earlier work this paper cites.
Sampling and integration of near log-concave functions
D. Applegate and R. Kannan · 1991
Earlier work this paper cites.
Decision theoretic generalizations of the PAC model for neural net and other learning applications
D. Haussler · 1992
Earlier work this paper cites.
Statistical Learning Theory
V. Vapnik · 1998
Earlier work this paper cites.
Convex Optimization
S. Boyd and L. Vandenberghe · 2004
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.
Mechanism design via differential privacy
F. McSherry and K. Talwar · 2007
Earlier work this paper cites.
On the difficulties of disclosure prevention in statistical databases or the case for differential privacy
C. Dwork and M. Naor · 2008
Earlier work this paper cites.
A note on differential privacy: Defining resistance to arbitrary side information
S. P. Kasiviswanathan and A. Smith · 2008
Earlier work this paper cites.
Estimation of the warfarin dose with clinical and pharmacogenetic data
International Warfarin Pharmacogenetic Consortium · 2009
Earlier work this paper cites.
Stochastic convex optimization
S. Shalev-Shwartz, O. Shamir, N. Srebro, and K. Sridharan · 2009
Earlier work this paper cites.
Differential privacy for collaborative security
J. Reed, A. J. Aviv, D. Wagner, A. Haeberlen, B. C. Pierce, and J. M. Smith · 2010
Cited alongside, same era.
Learnability, stability and uniform convergence
S. Shalev-Shwartz, O. Shamir, N. Srebro, and K. Sridharan · 2010
Cited alongside, same era.
Differentially private empirical risk minimization
K. Chaudhuri, C. Monteleoni, and A. D. Sarwate · 2011
Cited alongside, same era.
No free lunch in data privacy
D. Kifer and A. Machanavajjhala · 2011
Cited alongside, same era.
A practical application of differential privacy to personalized online advertising
Y. Lindell and E. Omri · 2011
Cited alongside, same era.
Sparse functional linear regression with applications to personalized medicine
I. McKeague and M. Qian · 2011
Cited alongside, same era.
Differentially private learning with kernels
P. Jain and A. Thakurta · 2013
Later among the works it cites.
Differentially private histogram publication
J. Xu, Z. Zhang, X. Xiao, Y. Yang, G. Yu, and M. Winslett · 2013
Later among the works it cites.
Privgene: differentially private model fitting using genetic algorithms
J. Zhang, X. Xiao, Y. Yang, Z. Zhang, and M. Winslett · 2013
Later among the works it cites.
Private empirical risk minimization: Efficient algorithms and tight error bounds
R. Bassily, A. Smith, and A. Thakurta · 2014
Later among the works it cites.
The algorithmic foundations of differential privacy
C. Dwork and A. Roth · 2014
Later among the works it cites.
Privacy in pharmacogenetics: An end-to-end case study of personalized warfarin dosing
M. Fredrikson, E. Lantz, S. Jha, S. Lin, D. Page, and T. Ristenpart · 2014
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Role of statistical random-effects linear models in personalized medicine
F. J. Diaz and J. Yeh, Hung-Wen de Leon · 2012
Cited alongside, same era.
Privbasis: Frequent itemset mining with differential privacy
N. Li, W. H. Qardaji, D. Su, and J. Cao · 2012
Cited alongside, same era.
Demonstration of damson: Differential privacy for analysis of large data
M. Winslett, Y. Yang, and Z. Zhang · 2012
Cited alongside, same era.
Functional mechanism: Regression analysis under differential privacy
J. Zhang, Z. Zhang, X. Xiao, Y. Yang, and M. Winslett · 2012
Cited alongside, same era.
Local privacy and statistical minimax rates
J. C. Duchi, M. I. Jordan, and M. J. Wainwright · 2013
Cited alongside, same era.
Later among the works it cites.
Towards practicing differential privacy
M. Hardt · 2014
Later among the works it cites.
Understanding Machine Learning: From Theory to Algorithms
S. Shalev-Shwartz and S. Ben-David · 2014
Later among the works it cites.
Fast and secure linear regression and biometric authentication with security update
Y. Aono, T. H. L. T. Phong, and L. Wang · 2015
Closest in time.
Conservative or liberal? personalized differential privacy
Z. Jorgensen, T. Yu, and G. Cormode · 2015
Closest in time.
Regression model fitting under differential privacy and model inversion attack
Y. Wang, C. Si, and X. Wu · 2015
Closest in time.