Google unveils differential privacy tool for Python developers processing data

On Friday, Google debuted a new product developed with OpenMined that allows any Python developer to process data with differential privacy.

The two have been working on the project for a year, and Google said the freely available privacy infrastructure will help millions in “the global developer community — researchers, governments, nonprofits, businesses and more — build and launch new applications for differential privacy, which can provide useful insights and services without revealing any information about individuals.”

Google began its differential privacy efforts in 2019 and got significant interest in it, prompting them to launch the new open source differential privacy product in Python. Google’s work with OpenMined included efforts to train third party experts to educate anyone who wants to learn how to leverage differential privacy tech.

Google privacy and data protection office product manager Miguel Guevara told ZDNet that they reached out to OpenMined last year to surface the idea of building this Python product, with the goal of making it the most usable end-to-end differential privacy solution freely available. They immediately jumped onboard, Guevara added. 

“It’s been a truly amazing experience to work collectively with OpenMined towards building a more private Internet. The energy that their developers had through this journey over

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