TF Encrypted

@tf_encrypted

A Framework for Machine Learning on Encrypted Data. Open source and community focused.

Vrijeme pridruživanja: listopad 2018.

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  1. 13. sij

    Watch this walkthrough of how to do collaborative fraud detection using TF Encrypted!

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  2. 22. pro 2019.
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  3. 19. pro 2019.

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

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  4. proslijedio/la je Tweet
    18. pro 2019.

    So many security-related projects have shields in their logos; did you notice that the logo instead hints at collaboration and bringing data together? 🙃

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  5. proslijedio/la je Tweet
    18. pro 2019.

    We’re publishing a blog post today about bringing federated learning (FL) and secure aggregation together in 2.0. It contains a detailed explanation of both concepts and a full example.

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  6. proslijedio/la je Tweet
    1. stu 2019.

    Excited about the new support for 2.0 in , but want to see more? Apply to join the TensorFlow development team! Roadmap: - full TensorFlow API support - integrations w/ TF Privacy, & TF Federated, - and more! Apply:

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  7. proslijedio/la je Tweet
    28. lis 2019.

    At 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 , ’s PySyft, and .

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  8. proslijedio/la je Tweet
    24. lis 2019.

    now supports thanks to the team ! PySyft-TensorFlow supports remote execution of - Tensors - Variables - Models We plan to support - - TF - TF in the very near future!! Blog:

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  9. proslijedio/la je Tweet
    22. lis 2019.

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

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  10. proslijedio/la je Tweet
    10. lis 2019.

    Super exciting news from Facebook AI re encrypted computations for ML in

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  11. proslijedio/la je Tweet
    23. ruj 2019.

    Join the team for a tutorial at Oct 29: Privacy-Preserving Machine Learning with and TF Encrypted

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  12. 28. kol 2019.

    A huge thank you to everyone for helping us pass ✨400 stars ✨ on GitHub!

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  13. proslijedio/la je Tweet
    24. kol 2019.

    From medical apps to banking ones, 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.

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    23. kol 2019.

    We are super pleased to announce the addition of a Keras compatible API to ! You can now define encrypted machine learning models using an API you know and love in . Read on below for more 👇

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  16. proslijedio/la je Tweet
    8. kol 2019.

    We’re super pleased to announce TF SEAL, a bridge between and ’s SEAL. TF SEAL makes it easier to create homomorphically encrypted TensorFlow operations bringing deep learning and HE together.

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  17. proslijedio/la je Tweet
    19. srp 2019.

    Looking forward to demoing and meeting all the attendees!

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  18. proslijedio/la je Tweet
    18. srp 2019.

    We’re super excited for - we will be on site presenting and how you can use it to train and deploy machine learning models with sensitive data without compromising privacy!

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  19. proslijedio/la je Tweet
    4. srp 2019.

    Our work on and has been featured in this years State of AI report from and 🥳! Checkout slide 27 in the link below 👇

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  20. 3. srp 2019.

    We are very proud to present our brand new website, thanks to ! Head over to for examples, invitation to our development Slack, and much more! 🍻🚀🥳 And keep an eye out for more updates! 👀

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