How we’re helping developers with differential privacy

Google is advancing its commitment to privacy by enhancing its differential privacy technologies across various products and making these innovations more accessible to developers and businesses worldwide. Notably, Google has integrated differential privacy into core services like Chrome, Google Maps, and the Assistant, and has used it in COVID-19 Community Mobility Reports to support global decision-makers while safeguarding personal data. This year, Google plans to offer app developers new metrics in a differentially private manner through the Google Play console, allowing insights without compromising user privacy. Additionally, Google is open-sourcing a differentially private SQL database query language extension to democratize privacy-safe data analysis. In partnership with OpenMined, Google is developing a version of its differential privacy library for Python developers, expanding its accessibility. Google also continues to enhance TensorFlow Privacy, improving its performance and collaborating with institutions like Princeton University and Stanford Medical School to test and understand the privacy of machine learning models. Through these efforts, Google aims to provide world-class privacy protections while fostering an open-source ecosystem.