课题基金 / 基金详情

Big Data and Differential Privacy

Big Data and Differential Privacy
大数据和差异隐私
批准号:
1346565
负责人:
Richard Karp
金额:
$2.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-09-01 至 2014-08-31

项目摘要

项目成果

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中文摘要
翻译
由于大数据,我们的社会正在经历一场伟大的革命。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。今天,隐私既是一个重大的社会问题,也是一个具有挑战性的智力问题;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,它在大型数据库的背景下构思,特别适合于大数据。本次研讨会将于2013年秋汇聚差异隐私研究人员和世界领先的大数据理论家,齐聚西蒙斯研究所,为隐私和大数据领域的真正突破创造难得的机会。西蒙斯研究所将在2013年秋举办一期特别学期,主题为“大数据分析的理论基础”,届时将汇聚几位大数据分析专家。讲习班的目的一方面是开发新的启发差异隐私的技术,以便在不威胁个人隐私的情况下进行大规模数据分析,另一方面让两个社区共同探索以两者为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日在加利福尼亚州伯克利的西蒙斯计算理论研究所举行。
英文摘要
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.
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Brain and Computation
  • 批准号:
    1744126
  • 项目类别:
    Standard Grant
  • 资助金额:
    $6.0万
  • 财政年份:
    2017
  • 负责人:
    Richard Karp
  • 依托单位:
Learning, Algorithm Design and Beyond Worst-Case Analysis
  • 批准号:
    1639629
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.0万
  • 财政年份:
    2016
  • 负责人:
    Richard Karp
  • 依托单位:
Computational Challenges in Machine Learning
  • 批准号:
    1639630
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.0万
  • 财政年份:
    2016
  • 负责人:
    Richard Karp
  • 依托单位:
Proving and Using Pseudorandomness
  • 批准号:
    1639631
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.0万
  • 财政年份:
    2016
  • 负责人:
    Richard Karp
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: