In July 2022, we organized a workshop (with the title Differential privacy (DP): Challenges towards the next frontier) with experts from industry, academia, and the public sector to seek answers to broad questions pertaining to privacy and its implications in the design of industry-grade systems. This document is the only public summary of the conversations from the workshop. There are two potential purposes of this document, which we envision: i) it serves as a standing reference for algorithmic/design decisions that are taken in the space of privacy, and ii) it provides guidance on future research directions. The document covers a broad array of topics, from infrastructure needs for designing private systems, to achieving better privacy/utility trade-offs, to conveying privacy guarantees to a broad audience. Finally, the document also looks at attacking and auditing these systems.

翻译：2022年7月，我们组织了一场主题为"差分隐私（DP）：下一前沿面临的挑战"的研讨会，邀请了来自工业界、学术界和公共部门的专家，共同探讨与隐私保护及其在工业级系统设计中的影响相关的广泛问题。本文档是该研讨会讨论内容的唯一公开总结。我们认为本文件具备两个潜在用途：i）作为隐私保护领域算法/设计决策的常设参考；ii）为未来研究方向提供指导。文档涵盖广泛主题，从设计隐私保护系统所需的基础设施，到实现更优的隐私/效用权衡，再到向广泛受众传达隐私保障承诺。最后，文档还探讨了针对这些系统的攻击与审计机制。