Sharing our latest differential privacy milestones and advancements- Google Developers Blog

This post announces the largest application of differential privacy in the world, spanning close to three billion devices, used to improve products like Google Home, Google Search on Android, and Messages. It details the 'shuffler' model research that enabled this scale. The post also announces the release of PipelineDP4j for JVM, expanding differential privacy library support to Java, and DP-Auditorium, a library for auditing differential privacy algorithms without internal access. Advancements in Google Trends are also highlighted, enabling insights for low-volume locales.