WP. 27 ENGLISH ONLY UNITED NATIONS STATISTICAL COMMISSION and ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS EUROPEAN COMMISSION STATISTICAL OFFICE OF THE EUROPEAN COMMUNITIES (EUROSTAT)

نویسندگان

  • Alan F. Karr
  • Xiaodong S. Lin
  • Jerome P. Reiter
  • Ashish P. Sanil
چکیده

Reluctance of statistical agencies and other data owners to share their possibly confidential or proprietary data with others who own related databases is a serious impediment to conducting mutually beneficial analyses. This paper reviews methods for secure computation that potentially allow agencies to share data without compromising data confidentiality. The methods discussed include secure summation protocols, secure matrix product protocols, and synthetic data approaches.

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منابع مشابه

WP. 9 ENGLISH ONLY UNITED NATIONS STATISTICAL COMMISSION and ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS EUROPEAN COMMISSION STATISTICAL OFFICE OF THE EUROPEAN COMMUNITIES (EUROSTAT)

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WP.2 ENGLISH ONLY UNITED NATIONS STATISTICAL COMMISSION and ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS EUROPEAN COMMISSION STATISTICAL OFFICE OF THE EUROPEAN COMMUNITIES (EUROSTAT)

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WP. 30 ENGLISH ONLY UNITED NATIONS STATISTICAL COMMISSION and ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS EUROPEAN COMMISSION STATISTICAL OFFICE OF THE EUROPEAN COMMUNITIES (EUROSTAT)

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تاریخ انتشار 2005