What to Consider When Considering Differential Privacy for Policy
Priyanka Nanayakkara, Jessica Hullman
TL;DR
To aid policymaking around privacy concerns, this work identifies three categories of challenges to understanding differential privacy along with associated questions that policymakers can ask about the potential deployment context to anticipate its impacts.
Abstract
Differential privacy (DP) is a mathematical definition of privacy that can be widely applied when publishing data. DP has been recognized as a potential means of adhering to various privacy-related legal requirements. However, it can be difficult to reason about whether DP may be appropriate for a given context due to tensions that arise when it is brought from theory into practice. To aid policymaking around privacy concerns, we identify three categories of challenges to understanding DP along with associated questions that policymakers can ask about the potential deployment context to anticipate its impacts.