Morten Dahl

@mortendahlcs

Democratizing encrypted machine learning. Lead . Research scientist . Member .

Paris, France
Vrijeme pridruživanja: siječanj 2010.

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  1. proslijedio/la je Tweet
    2. velj

    Out today, my Security Engineering book chapter 12 tells the story of the last decade's frauds against card payments and online banking, and how the defences have adapted:

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  2. proslijedio/la je Tweet
    prije 12 sati

    Researcher - Homomorphic Encryption: Zama - Paris, France

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  3. proslijedio/la je Tweet
    1. velj

    We are thrilled to announce that is joining the world's first alliance . We are going to work with pioneers like , , and in the implementation and adoption of technology.

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  4. 31. sij

    Having fish n chips tonight, for no obvious reason

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  5. proslijedio/la je Tweet
    29. sij

    Good hyperparameters lead to ML success! 🙌 Learn how you can find the best parameters with Keras Tuner— a fully-featured, scalable, and easy-to-use hyperparameter tuning library for Keras and beyond. Read the blog →

    hyperparameters with keras tuner
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  6. 30. sij

    And a big thank you to as well for suggesting! 💪

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  7. 30. sij

    Was a great time sitting down with , and thank you very much for the opportunity!

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  8. proslijedio/la je Tweet

    It has been 0 days since I showed coworkers the cursed Instant::now() code from Rust stdlib

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  9. proslijedio/la je Tweet
    25. sij

    Weekend TODO 🗓 the Call For Speakers for the first closes on January 31st. We are putting together an outstanding program: confirmed speakers include , Manuela Veloso of & more

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  10. 24. sij

    Great survey: "Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools."

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  11. proslijedio/la je Tweet
    24. sij

    We are hiring a Rust developer (full-time). . Challenge your skills to the limit. Details:

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  13. proslijedio/la je Tweet
    23. sij

    presenting deep coding insights (« Rust const versus C++ constexpr ») during Meetup Paris hosted today by at -

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  14. 23. sij

    First meetup in a while, and of course it's the Paris 🙂

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  15. proslijedio/la je Tweet
    23. sij

    This is a profound and inspiring vision for Swift 6: multi platform investment, concurrency, move semantics, rust-style ownership, Automatic Differentiation and investment in developer joy 💖🚀

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  16. proslijedio/la je Tweet
    21. sij

    Apple uses some SUPER CLEVER language to describe how Messages in iCloud can become decrypted by enabling Backup: 'If you have iCloud Backup turned on, your backup includes a copy of the key protecting your Messages.' That sentence. That's it. 😠

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  17. proslijedio/la je Tweet
    21. sij

    It's time to start working on your talk submission to Theory and Practice of Multiparty Computation 2020 (), May 25-28, Aarhus. No proceedings, published papers and works under review are welcome. Submission deadline: Feb 18th 2020

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  18. 21. sij

    Keep coming back to this: the easiest way to build something useful is to be immersed in the problem it’s solving on a daily basis.

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  19. proslijedio/la je Tweet
    19. sij

    Here's a lecture by Andrew Trask () on privacy-preserving AI as part of the MIT Deep Learning lecture series. Preserving privacy boosts our ability to do science at a large-scale and to engineer intelligent systems that learn from data:

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  20. 18. sij

    Today we typically use centralized learning, but: - Centralized learning is good when you can bring the data to the model; - Federated learning is good when you can bring the model to the data; - Encrypted learning is for when you can’t do either.

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