Advancing Differential Privacy: Current State and Future Directions for Real-World Deployment
Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment
AI summary
A differential privacy (DP) review surveys existing practices and state-of-the-art methods in the field, focusing on advancing the deployment of DP in real-world settings. The content originates from a July 2022 workshop involving experts from industry, academia, and the public sector, and aims to inform algorithmic and design decisions in the privacy field. The article covers the infrastructure needs for designing privacy systems, methods for improving the privacy-utility tradeoff, privacy attacks and auditing, and privacy communication for broader audiences and stakeholders.