Differential privacy is commonly used in the computer science literature as a mathematical definition of privacy for the purpose of quantifying and bounding privacy loss. It induces a preference order over the set of privacy-jeopardizing mechanisms which, in turn, adhere to some properties of this order. We show that a set of five such properties uniquely captures the ordinal implications of prioritizing the alternatives in agreement with differential privacy. The model can also be applied to evaluate the appropriateness of differential privacy in different settings.

中文翻译：

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论差异隐私的行为含义

差异隐私在计算机科学文献中通常用作隐私的数学定义，以量化和限制隐私损失。它会导致对一系列破坏隐私的机制的偏好，而这些机制又会坚持该秩序的某些属性。我们证明了五个这样的属性的集合唯一地捕获了优先次序选择的序贯含义，这些选择与差异性隐私达成了一致。该模型还可以用于评估不同设置下差异隐私的适当性。