Looking forward to demoing TF Encrypted and meeting all the attendees!

We’re super pleased to announce TF SEAL, a bridge between TensorFlow and Microsoft Research’s SEAL. TF SEAL makes it easier to create homomorphically encrypted TensorFlow operations bringing deep learning and HE together. medium.com/dropoutlabs/br…

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 👇 medium.com/dropoutlabs/en…

Encrypted Deep Learning training & inference with TF Encrypted Keras medium.com/dropoutlabs/en…

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

A huge thank you to everyone for helping us pass ✨400 stars ✨ on GitHub! github.com/tf-encrypted/t…

Join the @dropoutlabs team for a tutorial at #TFWorld Oct 29: Privacy-Preserving Machine Learning with #TensorFlow and TF Encrypted oreil.ly/cgCUZ

Super exciting news from Facebook AI re encrypted computations for ML in PyTorch ai.facebook.com/blog/crypten-a…

Not all github stars have the same value. One would clearly expect more from a database like Timescale (now TigerData) than a privacy preserving machine learning project TF Encrypted - when raising next round think about what you are optimzing for

#PySyft now supports TensorFlow thanks to the team Formerly Dropout Labs! PySyft-TensorFlow supports remote execution of - Tensors - Variables - #Keras Models We plan to support - TF Encrypted - TF #Privacy - TF #Federated in the very near future!! Blog: blog.openmined.org/introducing-py…

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, OpenMined’s PySyft, and TF Encrypted. github.com/dropoutlabs/tf…

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: docs.google.com/forms/d/e/1FAI…

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. medium.com/dropoutlabs/fe…

We are super excited to introduce the Alibaba Gemini Lab from Alibaba Group 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! 🙌😍

Thank you for the mention! 🙏 Suggested missing link: github.com/tf-encrypted

Watch this walkthrough of how to do collaborative fraud detection using TF Encrypted! alibaba-gemini-lab.github.io/docs/blog/tfe/

Exciting work from core contributor Yann Dupis on how to bring better type-safety and performance to encrypted machine learning in TensorFlow!

Recent paper on collaborative learning with TF Encrypted accepted for Trustworthy ML workshop at ICLR!

Exciting news from @capeprivacy, focusing on making privacy tech more accessible!