论文标题
泄漏措施的字母
An Alphabet of Leakage Measures
论文作者
论文摘要
我们介绍了一个称为最大$α，β$渗出量的信息泄漏措施，由实数$α$和$β$参数化。该度量是通过涉及对手猜测数据的未知功能的操作定义形式化的。我们获得了该度量的简单，可计算的表达式，并表明它满足了几种基本属性，例如固定$α$，非负性，数据处理不等式的$β$中的单调性，以及对独立发行版的添加性。最后，我们通过表明它桥接了几种已知的泄漏措施，包括最大$α$α$ - 裂解$（β= 1）$，最大泄漏$（α= \ infty，β= 1）$，局部微分隐私$（α= \ infty，β= \ infty）$（β= \ infty）$（lastialy）$（α）$（β= 1）$（β= 1）$（β= 1）$（β= \ infty）$（β= 1）$（β= 1）$（β= 1）$（β= 1）$（β= 1）$（β= \ infty）$（β= 1）$（
We introduce a family of information leakage measures called maximal $α,β$-leakage, parameterized by real numbers $α$ and $β$. The measure is formalized via an operational definition involving an adversary guessing an unknown function of the data given the released data. We obtain a simple, computable expression for the measure and show that it satisfies several basic properties such as monotonicity in $β$ for a fixed $α$, non-negativity, data processing inequalities, and additivity over independent releases. Finally, we highlight the relevance of this family by showing that it bridges several known leakage measures, including maximal $α$-leakage $(β=1)$, maximal leakage $(α=\infty,β=1)$, local differential privacy $(α=\infty,β=\infty)$, and local Renyi differential privacy $(α=β)$.
