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Abstract
This special issue presents papers based on talks from a workshop on "Statistical and Learning-Theoretic Challenges in Data Privacy" held at UCLA's Institute for Pure and Applied Mathematics (IPAM), February 22–26, 2010.
Recommended Citation
Slavkovic, Aleksandra B. and Smith, Adam
(2012)
"Special Issue on Statistical and Learning-Theoretic Challenges in Data Privacy,"
Journal of Privacy and Confidentiality:
Vol. 4:
Iss.
1, Article 1.
Available at:
http://repository.cmu.edu/jpc/vol4/iss1/1
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