In this article, we present a detailed review of current practices and state-of-the-art methodologies in the field of differential privacy (DP), with a focus of advancing DP's deployment in real-world applications. Key points and high-level contents of the article were originated from the discussions from "Differential Privacy (DP): Challenges Towards the Next Frontier," a workshop held in July 2022 with experts from industry, academia, and the public sector seeking answers to broad questions pertaining to privacy and its implications in the design of industry-grade systems. This article aims to provide a reference point for the algorithmic and design decisions within the realm of privacy, highlighting important challenges and potential research directions. Covering a wide spectrum of topics, this article delves into the infrastructure needs for designing private systems, methods for achieving better privacy/utility trade-offs, performing privacy attacks and auditing, as well as communicating privacy with broader audiences and stakeholders.

翻译：本文详细综述了差分隐私领域的当前实践与前沿方法，重点聚焦于推进DP在实际应用中的部署。文章的关键要点与核心内容源自2022年7月举办的"差分隐私：通向下一前沿的挑战"研讨会，该研讨会汇集了来自工业界、学术界及公共部门的专家，共同探讨与隐私及隐私在工业级系统设计中的影响相关的广泛问题。本文旨在为隐私领域的算法设计与决策提供参考，突出重要挑战与潜在研究方向。文章涵盖广泛主题，深入探讨了设计隐私系统所需的基础设施需求、实现更优隐私/效用权衡的方法、开展隐私攻击与审计的技术，以及向更广泛受众和利益相关者传达隐私理念的途径。