Differentially Private Algorithms for Empirical Machine Learning

Feature selection for classification

M. Dash and H. Liu · 1997

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Practical privacy: The sulq framework

A. Blum, C. Dwork, F. McSherry, and K. Nissim · 2005

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Pattern Recognition and Machine Learning (Information Science and Statistics)

C. M. Bishop · 2006

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Differential privacy

C. Dwork · 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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Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)

I. Guyon, S. Gunn, M. Nikravesh, and L. A. Zadeh · 2006

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Mechanism design via differential privacy

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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Differentially Private Empirical Risk Minimization

A. and Sarwate and K. Chaudhuri · 2009

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Twitter sentiment classification using distant supervision

A. Go, R. Bhayani, and L. Huang · 2009

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Differentially private support vector machines

Original

A. D. Sarwate, K. Chaudhuri, and C. Monteleoni · 2009

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Data mining with differential privacy

A. Friedman and A. Schuster · 2010

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A multiplicative weights mechanism for privacy-preserving data analysis

M. Hardt and G. N. Rothblum · 2010

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Boosting the accuracy of differentially private histograms through consistency

M. Hay, V. Rastogi, G. Miklau, and D. Suciu · 2010

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A Study of Privacy and Fairness in Sensitive Data Analysis

M. A. W. Hardt · 2011

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Scikit-learn: Machine learning in Python

F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay · 2011

Practical differential privacy via grouping and smoothing

G. Kellaris and S. Papadopoulos · 2013

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An examination of data confidentiality and disclosure issues related to publication of empirical roc curves

G. J. Matthews and O. Harel · 2013

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Differentially private feature selection via stability arguments, and the robustness of the lasso

A. G. Thakurta and A. Smith · 2013

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Differentially private naive bayes classification

J. Vaidya, B. Shafiq, A. Basu, and Y. Hong · 2013

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Privgene: Differentially private model fitting using genetic algorithms

J. Zhang, X. Xiao, Y. Yang, Z. Zhang, and M. Winslett · 2013

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Privacy in pharmacogenetics: An end-to-end case study of personalized warfarin dosing