Cohere: Managing Differential Privacy in Large Scale Systems
Nicolas Küchler, Emanuel Opel, Hidde Lycklama, Alexander Viand, Anwar Hithnawi
IEEE Symposium on Security and Privacy 2024 · Day 1 · Continental Ballroom 6
In an era increasingly defined by data-driven insights, the challenge of leveraging vast datasets for research, service provision, and public statistics without compromising individual privacy has become paramount. This talk introduces **Cohere**, a novel system designed to address the complex challenges of deploying **Differential Privacy (DP)** in large-scale, multi-application environments. Presented by Nicolas Küchler and his co-authors, Cohere offers a sophisticated approach to enforcing system-wide DP guarantees by tracking and managing a shared privacy state across diverse applications, even when those applications are developed by different teams and utilize various DP libraries.
AI review
Cohere presents a critical advancement in large-scale Differential Privacy deployment, moving beyond per-application guarantees to a system-wide approach. Its unified RDP-based analysis, fine-grained block composition, and user rotation mechanism address cumulative privacy loss and budget depletion with technical elegance, demonstrating significant utility improvements. This isn't just theory; it's a blueprint for practical, robust DP.