%0 Conference Paper
%B IEEE International Symposium on Information Theory
%D 2019
%T Privacy Against Brute-Force Inference Attacks
%A Seyed Ali Osia
%A Hamed Haddadi
%A Hamid Reza Rabiee
%C Paris, France
%I IEEE
%X 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.
%8 07/07