Prio - Private, Robust, and Scalable Computation of Aggregate Statistics

Explore a groundbreaking privacy-preserving system for collecting aggregate statistics in this 25-minute conference talk from NSDI '17. Dive into Prio, a system that allows servers to compute statistical functions over client data while maintaining client privacy. Learn how Prio utilizes secret-shared non-interactive proofs (SNIPs) to achieve significant performance improvements over traditional zero-knowledge approaches. Discover how this innovative technique enables the collection of a wide range of useful statistics, including least-squares regression on high-dimensional data, without compromising individual privacy. Gain insights into the system's ability to protect functionality against faulty or malicious clients and understand its potential applications in various fields requiring secure data aggregation.

Intro
Private sums
Prio
Performance
Privacypreserving statistics
Discussion