Machine learning inherently requires large amounts of data to work and draw patterns. In recent years, there has a been a push to ensure the information used remains private. Google today announced an open source differential privacy library that its own products use.
differential privacy Stories September 5, 2019
differential privacy Stories March 6, 2019
Google brings differential privacy to third-party ML developers using TensorFlow
Ahead of the 2019 TensorFlow Dev Summit, Google is announcing a new way for third-party developers to adopt differential privacy when training machine learning models. TensorFlow Privacy is designed to be easy to implement for developers already using the popular open-source ML library.