Differential Privacy

From MgmtWiki
Revision as of 11:28, 11 November 2019 by Tom (talk | contribs) (Full Title or Meme)

Jump to: navigation, search

Full Title or Meme

Differential Privacy is a system for publicly sharing information about a data collection by describing the patterns of groups within the collection while withholding information that could identify the Subject.


U.S. Census Bureau officials said the agency is revamping its systems to prevent anyone from using published data to target individual respondents through the information they disclosed to the census. The bureau aims to use a mathematical process, called Differential Privacy, to modify census results sufficiently to reliably conceal respondents' identity. The agency will make small additions to and subtractions from each number, prior to almost every table's publication, and significantly cut the number of published statistics. Although data users are concerned these changes will disrupt their use of census data, not addressing the danger could allow information on individuals to be exposed, violating federal privacy law and elevating the risk of identity theft and other kinds of misuse.[1]


  1. Paul Overberg, Census Overhaul Seeks to Avoid Outing Individual Respondent Data The Wall Street Journal (2019-11-10)