TensorFlow Privacy now available on Github
Today, Google released TensorFlow Privacy, an open-source tool that will help keep your data anonymous, even as AI learns from it. The now-public code is based on differential privacy. That’s what allows Gmail’s Smart Reply to guess what you’re going to say by collecting data from other people’s emails, and at the same time, keeps Smart Reply from revealing any juicy secrets people have typed before.
By sharing TensorFlow Privacy, Google hopes developers will add this type of security to other machine learning tools — and maybe even improve on it. To encourage adoption, Google promises TensorFlow is easy to use. It only requires “some simple code changes” and hyperparameter tuning. You can access the tool on GitHub, and if you want to dive deeper, Google has also released a technical whitepaper.
Source: Christine Fisher | Engadget