Interpreting Epsilon of Differential Privacy in Terms of Advantage in Guessing or Approximating Sensitive Attributes

• Published in: 2022 IEEE 35th Computer Security Foundations Symposium (CSF) pp. 96 - 111
• Main Authors: Pankova, Alisa, Laud, Peeter
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.08.2022
• Subjects: attacker advantage; Computer security; d-privacy; Differential privacy; Privacy; Probability

Differential privacy is a privacy technique with provable guarantees which is typically achieved by introducing noise to statistics before releasing them. The level of privacy is characterized by a certain numeric parameter E > 0, where smaller E means more privacy. However, there is no common ag...