Big Data and Differential Privacy

我们的社会正处于大数据带来的一场伟大革命之中。这场革命影响着我们生活的方方面面，从线上到线下，从商业到科学。如今，隐私既是一个主要的社会问题，也是一个具有挑战性的问题;大数据趋势加剧了这个问题。差异隐私是实现隐私目标的一种原则性方法，因为它是在大型数据库的背景下构思的，特别适合于大数据。2013年秋季，Simons Institute将举办一个关于“大数据分析的理论基础”的特别学期，届时将有来自世界各地的大数据理论家和差异隐私研究者齐聚Simons Institute，为隐私和大数据领域的真正突破创造一个难得的机会。它将汇集多位大数据分析专家。讲习班的目的一方面是开发新的差异隐私启发技术，以便在不威胁个人隐私的情况下进行大规模数据分析，另一方面是让两个社区共同探讨作为两者基础的统计概念和技术。 为期四天的“大数据和差异隐私”研讨会将于2013年12月11日至14日在位于加州伯克利的西蒙斯计算理论研究所举行。

Our society is in the midst of a great revolution due to Big Data. This revolution affects every aspect of our lives from online to offline, from business to science. Privacy today is both a major social concern and an intellectually challenging problem; the problem is exacerbated by the Big Data trend. Differential privacy is a principled approach to achieving the goal of privacy which, conceived as it was in the context of large databases, is especially suited for Big Data. This workshop will bring together researchers on differential privacy with the world's leading Big Data theoreticians to congregate at the Simons Institute in the Fall of 2013 to create a rare opportunity for true breakthroughs both in Privacy and in Big Data.The Simons Institute will be hosting a special semester on "Theoretical foundations of Big Data analysis" during Fall of 2013, which will bring together several experts in analysis of big data. The purpose of the workshop will be on the one hand to develop new differential-privacy-inspired techniques for allowing large-scale data analysis without threatening the privacy of individuals, and on the other hand for the two communities to explore together the statistical concepts and techniques which are at the basis of both. The four-day workshop on "Big Data and Differential Privacy" will take place December 11-14, 2013 at the Simons Institute for the Theory of Computing, located in Berkeley, CA.