In this paper, we systematize research on auditing Differential Privacy (DP) techniques, aiming to identify key insights and open challenges. First, we introduce a comprehensive framework for reviewing work in the field and establish three cross-contextual desiderata that DP audits should target -- namely, efficiency, end-to-end-ness, and tightness. Then, we systematize the modes of operation of state-of-the-art DP auditing techniques, including threat models, attacks, and evaluation functions. This allows us to highlight key details overlooked by prior work, analyze the limiting factors to achieving the three desiderata, and identify open research problems. Overall, our work provides a reusable and systematic methodology geared to assess progress in the field and identify friction points and future directions for our community to focus on.

翻译：本文系统梳理了差分隐私（DP）审计技术的研究，旨在识别关键见解与开放挑战。首先，我们提出了一个用于综述该领域工作的综合框架，并确立了DP审计应追求的三大跨情境目标——即高效性、端到端性与紧致性。接着，我们系统归纳了当前先进DP审计技术的操作模式，包括威胁模型、攻击方法与评估函数。这使我们得以揭示先前工作中被忽视的关键细节，分析实现三大目标的制约因素，并指出开放的研究问题。总体而言，本研究提供了一种可复用且系统化的方法论，旨在评估该领域进展，并为学界识别关键瓶颈与未来重点研究方向。