Google has open-sourced a differential privacy library that helps power some of its core products.
What it differential privacy?
Differential privacy is a method for analyzing data contained in a database and providing helpful insight from it, without disclosing the actual information contained in the data to the analysts. It’s meant to keep sensitive information usable but thoroughly anonymized.
“Differentially-private data analysis is a principled approach that enables organizations to learn from the majority of their data while simultaneously ensuring that those results do not allow any individual’s data to be distinguished or re-identified,” noted Miguel Guevara, Product Manager, Privacy and Data Protection Office at Google.