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Information that is stored in an encrypted format is, by definition, usually not amenable to statistical analysis or machine learning methods.
In Cursus: Wetenschappelijk Rekenen B: Process Analyse , pages 51–60. Stichting Mathematisch Centrum, 1965
A. van Wijngaarden · 1965
Earlier work this paper cites.
Ridge regression: Biased estimation for nonorthogonal problems
A. Hoerl and R. Kennard · 1970
Earlier work this paper cites.
The relationship between variable selection and data agumentation and a method for prediction
D. Allen · 1974
Earlier work this paper cites.
A method for solving a convex programming problem with convergence rate O ( 1 / k 2 ) O(1/k^{2})
Y. Nesterov · 1983
Earlier work this paper cites.
Prostate specific antigen in the diagnosis and treatment of adenocarcinoma of the prostate. II. radical prostatectomy treated patients
T. Stamey, J. Kabalin, J. McNeal, I. Johnstone, F. Freiha, E. Redwine, and N. Yang · 1989
Earlier work this paper cites.
Numerical methods for least squares problems
A. Björck · 1996
Earlier work this paper cites.
Regression shrinkage and selection via the lasso
R. Tibshirani · 1996
Earlier work this paper cites.
Penalized regressions: The bridge versus the lasso
W. Fu · 1998
Earlier work this paper cites.
Matrix iterative analysis , volume 27 of Springer Series in Computational Mathematics
R. S. Varga · 2000
Earlier work this paper cites.
Regularization and variable selection via the elastic net
H. Zou and T. Hastie · 2005
Earlier work this paper cites.
A Theoretical Introduction to Numerical Analysis
V. S. Ryaben’kii and S. V. Tsynkov · 2006
Cited alongside, same era.
The elements of statistical learning: data mining, inference and prediction
T. Hastie, R. Tibshirani, and J. Friedman · 2009
Cited alongside, same era.
Computing arbitrary functions of encrypted data
C. Gentry · 2010
Cited alongside, same era.
Secure multiple linear regression based on homomorphic encryption
R. Hall, S. E. Fienberg, and Y. Nardi · 2011
Cited alongside, same era.
Better key sizes (and attacks) for LWE-based encryption
R. Lindner and C. Peikert · 2011
Cited alongside, same era.
Nonlinear time-series approaches in characterizing mood stability and mood instability in bipolar disorder
M. Bonsall, S. Wallace-Hadrill, J. Geddes, G. Goodwin, and E. Holmes · 2012
Cited alongside, same era.
Identifying personal genomes by surname inference
M. Gymrek, A. L. McGuire, D. Golan, E. Halperin, and Y. Erlich · 2013
Later among the works it cites.
The Algorithmic Foundations of Differential Privacy
C. Dwork and A. Roth · 2014
Later among the works it cites.
A comparison of the homomorphic encryption schemes FV and YASHE
T. Lepoint and M. Naehrig · 2014
Later among the works it cites.
Big data: Seizing opportunities, preserving values, 2014
United States Executive Office of the President · 2014
Later among the works it cites.
The potential for machine learning analysis over encrypted data in cloud-based clinical decision support — background and review
J. Basilakis, B. Javadi, and A. Maeder · 2015
Later among the works it cites.
Privacy in the genomic era
M. Naveed, E. Ayday, E. W. Clayton, J. Fellay, C. A. Gunter, J.-P. Hubaux, B. A. Malin, and X. Wang · 2015
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Somewhat practical fully homomorphic encryption
J. Fan and F. Vercauteren · 2012
Cited alongside, same era.
Efficiency of coordinate descent methods on huge-scale optimization problems
Y. Nesterov · 2012
Cited alongside, same era.
Using homomorphic encryption for large scale statistical analysis
D. Wu and J. Haven · 2012
Cited alongside, same era.
ML Confidential: Machine learning on encrypted data
T. Graepel, K. Lauter, and M. Naehrig · 2013
Cited alongside, same era.
A review of homomorphic encryption and software tools for encrypted statistical machine learning
L. J. M. Aslett, P. M. Esperança, and C. C. Holmes
Cited in the paper.
Encrypted statistical machine learning: new privacy preserving methods
L. J. M. Aslett, P. M. Esperança, and C. C. Holmes
Cited in the paper.
Later among the works it cites.
Motivations, concerns and preferences of personal genome sequencing research participants: baseline findings from the HealthSeq project
S. C. Sanderson, M. D. Linderman, S. A. Suckiel, G. A. Diaz, R. E. Zinberg, K. Ferryman, M. Wasserstein, A. Kasarskis, and E. E. Schadt · 2015
Later among the works it cites.
Coordinate descent algorithms
S. Wright · 2015
Later among the works it cites.
Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy
N. Dowlin, R. Gilad-Bachrach, K. Laine, K. Lauter, M. Naehrig, and J. Wernsing · 2016
Later among the works it cites.
Privacy-preserving genomic testing in the clinic: a model using HIV treatment
P. J. McLaren, J. L. Raisaro, M. Aouri, M. Rotger, E. Ayday, I. Bartha, M. B. Delgado, Y. Vallet, H. F. Günthard, M. Cavassini, H. Furrer, T. Doco-Lecompte, C. Marzolini, P. Schmid, C. Di Benedetto, L. A. Decosterd, J. Fellay, J. Hubaux, A. Telenti, and the Swiss HIV Cohort Study · 2016
Later among the works it cites.