DML Sharif University of Technology
Privacy Against Brute-Force Inference Attacks
  None   2019      
S.A. Osia , B. Rassouli , H. Haddadi , H.R. Rabiee and D. Gündüz
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.