differential privacy Stories September 5

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.

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differential privacy Stories March 6

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.

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