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Privacy Against Brute-Force Inference Attacks

Osia, S. A ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1109/ISIT.2019.8849291
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2019
  4. Abstract:
  5. Privacy-preserving data release is about disclosing information about useful data while retaining the privacy of sensitive data. Assuming that the sensitive data is threatened by a brute-force adversary, we define Guessing Leakage as a measure of privacy, based on the concept of guessing. After investigating the properties of this measure, we derive the optimal utility-privacy trade-off via a linear program with any f-information adopted as the utility measure, and show that the optimal utility is a concave and piece-wise linear function of the privacy-leakage budget
  6. Keywords:
  7. Budget control ; Economic and social effects ; Information theory ; Linear programming ; Inference attacks ; Linear programs ; Optimal utility ; Piece-wise linear functions ; Privacy leakages ; Privacy preserving ; Sensitive datas ; Utility measure ; Data privacy
  8. Source: 2019 IEEE International Symposium on Information Theory, ISIT 2019, 7 July 2019 through 12 July 2019 ; Volume 2019-July , 2019 , Pages 637-641 ; 21578095 (ISSN) ; 9781538692912 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/8849291