Google Research· Research

Private analytics via zero-trust aggregation

Adrià Gascón, Staff Research Scientist, Google Research, and Mariana Raykova, Senior Staff Research Scientist, Google We introduce a private analytics solution which leverages a new cryptographic protocol for secure aggregation combined with the transparency properties of TEEs to achieve state-of-the-art privacy and security guarantees. Quick links Cryptographic aggregation paper Share Copy link × By processing data locally, on-device AI can provide enhanced protection and timely alerts while keeping user information private. For example, Android uses a system called SafetyCore to provide privacy-preserving on-device features and common infrastructure to protect users from unwanted content. When developing on-device technologies, teams need to understand how well their systems work across millions of individual smartphones, each with unique data distributions, varying hardware constraints, and different user behaviors. To achieve this in a way that reveals only collective trends without revealing individual user data, teams can leverage cryptographic secure aggregation as a key building block. …

Announced

27 May 2026 16:56 UTC