What to Consider When Considering Differential Privacy for Policy

Priyanka Nanayakkara, Jessica Hullman
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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.
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考虑政策差异化隐私时应考虑的因素
差分隐私(DP)是隐私的数学定义,可广泛应用于数据发布。差分隐私被认为是遵守各种隐私相关法律要求的潜在手段。然而,由于将 DP 从理论引入实践时会产生矛盾,因此很难推断 DP 是否适合特定环境。为了帮助制定有关隐私问题的政策,我们确定了理解 DP 所面临的三类挑战,以及政策制定者可以就潜在部署环境提出的相关问题,以预测其影响。
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