文章基本信息
- 标题：Special Issue on Statistical and Learning-Theoretic Challenges in Data Privacy
- 本地全文：下载
- 作者：Slavkovic, Aleksandra B. ; Smith, Adam
- 期刊名称：Journal of Privacy and Confidentiality
- 出版年度：2012
- 卷号：4
- 期号：1
- 页码：1
- 出版社：Carnegie Mellon University
- 摘要：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.
