Blowfish privacy: tuning privacy-utility trade-offs using policies

@inproceedings{He2014BlowfishPT,
  title={Blowfish privacy: tuning privacy-utility trade-offs using policies},
  author={X. He and Ashwin Machanavajjhala and B. Ding},
  booktitle={SIGMOD Conference},
  year={2014}
}
  • X. He, Ashwin Machanavajjhala, B. Ding
  • Published in SIGMOD Conference 2014
  • Computer Science
  • Privacy definitions provide ways for trading-off the privacy of individuals in a statistical database for the utility of downstream analysis of the data. In this paper, we present Blowfish, a class of privacy definitions inspired by the Pufferfish framework, that provides a rich interface for this trade-off. In particular, we allow data publishers to extend differential privacy using a policy, which specifies (a) secrets, or information that must be kept secret, and (b) constraints that may be… CONTINUE READING
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    References

    SHOWING 1-3 OF 3 REFERENCES
    Towards an axiomatization of statistical privacy and utility
    • 82
    • Highly Influential
    • PDF
    Differential Privacy
    • 3,681
    • Highly Influential
    • PDF
    Di↵erential privacy
    • In ICALP,
    • 2006