Privacy + data science focused collaboration creates remarkable changes! We believe in breaking out of the outdated governance models and into a more collaborative and value-driven future. Check out https://t.co/AYD3hZICwv and let us know what you think. 🙏🌎💪 #OpenSource
I played with an encrypted inference toy example classifying images of digits from MNIST using Swift for @TensorFlow . It’s been really fun to experiment with S4TF :)
https://t.co/2SvTroR8PS
We are super excited to introduce the Alibaba Gemini Lab from @AlibabaGroup as our newest organizational contributor! They recently obtained 1st place in the iDASH competition (more to come!) and are now generously contributing the extension of @tf_encrypted used! 🙌😍
So many security-related projects have shields in their logos; did you notice that the @tf_encrypted logo instead hints at collaboration and bringing data together? 🙃
We’re publishing a blog post today about bringing federated learning (FL) and secure aggregation together in @TensorFlow 2.0. It contains a detailed explanation of both concepts and a full example.
https://t.co/yegYIUpAtD
Excited about the new support for @TensorFlow 2.0 in #PySyft, but want to see more?
Apply to join the TensorFlow development team!
Roadmap:
- full TensorFlow API support
- integrations w/ TF Privacy, @tf_encrypted & TF Federated,
- and more!
Apply: https://t.co/zyylp3gDFl
At @TensorFlowWorld and interested in privacy-preserving machine learning?
Don’t miss our tutorial Oct 29th @ 1:30 PM on how to use sensitive data to train and deploy models using @TensorFlow, @openminedorg’s PySyft, and @tf_encrypted.
https://t.co/1F3sqFb6C0
Not all github stars have the same value. One would clearly expect more from a database like @TimescaleDB than a privacy preserving machine learning project @tf_encrypted - when raising next round think about what you are optimzing for
Join the @dropoutlabs team for a tutorial at #TFWorld Oct 29: Privacy-Preserving Machine Learning with #TensorFlow and TF Encrypted https://t.co/jevfTHu7pb
From medical apps to banking ones, @tf_encrypted allows you to build and deploy models using encrypted data.
Check out this blog to see how easy it is to create your model while keeping sensitive information private & unreadable by anyone including you.
#TensorFlow#DeepLearning
We are super pleased to announce the addition of a Keras compatible API to @tf_encrypted! You can now define encrypted machine learning models using an API you know and love in @TensorFlow. Read on below for more 👇
https://t.co/xaQkhDjNsN
We’re super pleased to announce TF SEAL, a bridge between @TensorFlow and @MSFTResearch’s SEAL. TF SEAL makes it easier to create homomorphically encrypted TensorFlow operations bringing deep learning and HE together.
https://t.co/gYIufkZZTn