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k-Anonymity: A Model for Protecting Privacy
  • L. Sweeney
  • Computer Science
    Int. J. Uncertain. Fuzziness Knowl. Based Syst.
  • 1 October 2002
TLDR
The solution provided in this paper includes a formal protection model named k-anonymity and a set of accompanying policies for deployment and examines re-identification attacks that can be realized on releases that adhere to k- anonymity unless accompanying policies are respected.
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Achieving k-Anonymity Privacy Protection Using Generalization and Suppression
  • L. Sweeney
  • Computer Science
    Int. J. Uncertain. Fuzziness Knowl. Based Syst.
  • 1 October 2002
TLDR
This paper provides a formal presentation of combining generalization and suppression to achieve k-anonymity and shows that Datafly can over distort data and µ-Argus can additionally fail to provide adequate protection.
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Protecting privacy when disclosing information: k-anonymity and its enforcement through generalization and suppression
TLDR
The concept of minimal generalization is introduced, which captures the property of the release process not to distort the data more than needed to achieve k-anonymity, and possible preference policies to choose among diierent minimal generalizations are illustrated.
Generalizing data to provide anonymity when disclosing information (abstract)
TLDR
This paper provides a computational disclosure technique for releasing information from a private table such that the identity of any individual to whom the released data refer cannot be de nitively recognized and describes an algorithm that, given a table, computes a preferred minimal generalization to provide anonymity.
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Preserving privacy by de-identifying face images
TLDR
A new privacy-enabling algorithm is presented, named k-Same, that guarantees face recognition software cannot reliably recognize deidentified faces, even though many facial details are preserved.
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Simple Demographics Often Identify People Uniquely
In this document, I report on experiments I conducted using 1990 U.S. Census summary data to determine how many individuals within geographically situated populations had combinations of demographic…
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Discrimination in online ad delivery
Google ads, black names and white names, racial discrimination, and click advertising.
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Integrating Utility into Face De-identification
TLDR
A new algorithm, k-Same-Select, is introduced, which is a formal privacy protection schema based on k-anonymity that provably protects privacy and preserves data utility and empirically validate the findings through evaluations on the FERET database.
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Guaranteeing anonymity when sharing medical data, the Datafly System
We present a computer program named Datafly that maintains anonymity in medical data by automatically generalizing, substituting, and removing information as appropriate without losing many of the…
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Datafly: A System for Providing Anonymity in Medical Data
We present a computer program named Datafly that maintains anonymity in medical data by automatically generalizing, substituting, inserting and removing information as appropriate without losing many…
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