| Title | Privacy Against Brute-Force Inference Attacks |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Osia, S. A., H. Haddadi, and H. R. Rabiee |
| Conference Name | IEEE International Symposium on Information Theory |
| Date Published | 07/07 |
| Publisher | IEEE |
| Conference Location | Paris, France |
| Abstract | 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. |
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