Interpreting Differential Privacy in Terms of Disclosure Risk

Music City Center 

As the use of differential privacy (DP) becomes widespread, the development of effective tools for reasoning about the privacy
guarantee becomes increasingly critical. In pursuit of this goal, we demonstrate novel relationships between DP and measures of
statistical disclosure risk. We suggest how experts and non-experts can use these results to explain the DP guarantee, interpret DP
composition theorems, select and justify privacy parameters, and identify worst-case adversary prior probabilities.