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  2. k-anonymity - Wikipedia

    en.wikipedia.org/wiki/K-anonymity

    To use k-anonymity to process a dataset so that it can be released with privacy protection, a data scientist must first examine the dataset and decide whether each attribute (column) is an identifier (identifying), a non-identifier (not-identifying), or a quasi-identifier (somewhat identifying).

  3. Latanya Sweeney - Wikipedia

    en.wikipedia.org/wiki/Latanya_Sweeney

    Medical dataset de-anonymization [ edit ] In 1998 Sweeney published a now famous example about data de-anonymization, demonstrating that a medical dataset that was in the public domain, can be used to identify individuals, regardless the removal of all explicit identifiers, when the medical dataset was combined with a public voter list.

  4. Datafly algorithm - Wikipedia

    en.wikipedia.org/wiki/Datafly_algorithm

    Datafly algorithm is an algorithm for providing anonymity in medical data. The algorithm was developed by Latanya Arvette Sweeney in 1997−98. [1] [2] Anonymization is achieved by automatically generalizing, substituting, inserting, and removing information as appropriate without losing many of the details found within the data.

  5. Data anonymization - Wikipedia

    en.wikipedia.org/wiki/Data_anonymization

    According to the EDPS and AEPD, no one, including the data controller, should be able to re-identify data subjects in a properly anonymized dataset. [8] Research by data scientists at Imperial College in London and UCLouvain in Belgium, [ 9 ] as well as a ruling by Judge Michal Agmon-Gonen of the Tel Aviv District Court, [ 10 ] highlight the ...

  6. l-diversity - Wikipedia

    en.wikipedia.org/wiki/L-diversity

    The l-diversity model handles some of the weaknesses in the k-anonymity model where protected identities to the level of k-individuals is not equivalent to protecting the corresponding sensitive values that were generalized or suppressed, especially when the sensitive values within a group exhibit homogeneity.

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  8. Spatial cloaking - Wikipedia

    en.wikipedia.org/wiki/Spatial_cloaking

    Spatial cloaking is a privacy mechanism that is used to satisfy specific privacy requirements by blurring users’ exact locations into cloaked regions. [1] [2] This technique is usually integrated into applications in various environments to minimize the disclosure of private information when users request location-based service.

  9. Jamie Dimon says the next generation of employees will ... - AOL

    www.aol.com/finance/jamie-dimon-says-next...

    The current average in Keynes’s U.K. is 36.4 hours. ‘There are negatives’ Like many other thought leaders, Dimon is aware that the technology could prove to be a powerful weapon if it fell ...