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iamtrask's profile
Andrew Trask
Andrew Trask
Andrew Trask
@iamtrask

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Andrew Trask

@iamtrask

Leader of @OpenMinedOrg, Senior Research Scientist @DeepMindAI, PhD Student @UniofOxford, Privacy Task Team @UN, Author @ManningBooks, Teacher @Udacity, Husband

Oxford, UK
manning.com/books/grokking…
Joined November 2012

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    Andrew Trask‏ @iamtrask 12 Nov 2018

    Deep Learning exploded when open tools made it *easy* I'm extremely excited to share our new @NipsConference paper feat: - Federated Learning - Differential Privacy - Encrypted Data/Models #privacy made... *easy* 🥳 Paper: https://arxiv.org/pdf/1811.04017.pdf … Code: https://github.com/OpenMined/PySyft …pic.twitter.com/iJ29MzHN86

    2:03 AM - 12 Nov 2018
    • 381 Retweets
    • 1,232 Likes
    • Gobinath⚡ Nikhila Ravi Oana Niculaescu Chadwick Strange Ranjith Katta Dashan Gao Adrian Colyer Daniel Mbiye argus
    9 replies 381 retweets 1,232 likes
      1. New conversation
      2. Kasra Yazdani‏ @kasrayzd 12 Nov 2018
        Replying to @iamtrask

        Great work! Just reading your paper, I was thinking how one can formally tune \epsilon and \delta to get certain privacy/accuracy guarantees. Any thoughts?

        1 reply 0 retweets 2 likes
      3. Andrew Trask‏ @iamtrask 12 Nov 2018
        Replying to @kasrayzd

        Each published algorithm typically comes with this - the part that is less well understood is what kind of accuracy/speed tradeoff you get with various tunings. Our framework is supposed to make such empirical works *much* easier.

        0 replies 0 retweets 5 likes
      4. End of conversation
      1. New conversation
      2. Zacharias Voulgaris‏ @zachvoulgaris 12 Nov 2018
        Replying to @iamtrask

        This tweet made my day! I'm in the process of creating a video on Privacy Matters for Data Science and this paper caught my eye. Thanks!

        1 reply 0 retweets 5 likes
      3. Andrew Trask‏ @iamtrask 12 Nov 2018
        Replying to @zachvoulgaris

        We should chat! :)

        0 replies 0 retweets 1 like
      4. End of conversation
      1. Francois Armand‏ @fanf42 12 Nov 2018
        Replying to @iamtrask

        Francois Armand Retweeted Olivier Girardot

        hey, @ogirardot and @WiemZin presented something very similar at @ScalaIO_FR two weeks ago! See thread https://twitter.com/fanf42/status/1057589606303129600 … and link to slides:https://twitter.com/ogirardot/status/1057617973991608320 …

        Francois Armand added,

        Olivier Girardot @ogirardot
        High Performance privacy by design using Matryoshka & Spark : here are the slides https://speakerdeck.com/ogirardot/high-performance-privacy-by-design-using-matryoshka-and-spark … and the code https://github.com/ogirardot/high-perf-privacy-scalaIO2018 … thanks everyone @WiemZin @jdegoes @ScalaIO_FR
        0 replies 1 retweet 4 likes
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      1. فيصل السالم‏ @falsalem76 12 Nov 2018
        Replying to @iamtrask

        why would **profit-driven** institutions democratize deep learning? Because DL is a black box with too many buttons for the masses to keep pushing until, *fingers-crossed*, something magical happens.

        0 replies 0 retweets 2 likes
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      1. Alberto Román‏ @AlbertoRoman 12 Nov 2018
        Replying to @iamtrask

        Happy to have contributed a little bit with our code from @coMindOrg. Keep up the good work!

        0 replies 0 retweets 2 likes
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      1. Claudio‏ @gelidcrow 12 Nov 2018
        Replying to @iamtrask

        Very awesome! I've just finished studying differential privacy

        0 replies 0 retweets 1 like
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      1. Kraken ( Rishab Sharma )‏ @kraken_2309 12 Nov 2018
        Replying to @iamtrask

        Sir you are making it look really easy for academic scholars like us....kudos

        0 replies 0 retweets 1 like
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      1. Pauvre Argan‏ @PauvreArgan 12 Nov 2018
        Replying to @iamtrask

        @adversariel @david_madras seems up your alley

        0 replies 0 retweets 1 like
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      1. Randy Soper‏ @__rsoper__ 21 Nov 2018
        Replying to @iamtrask

        I know that the design of differential privacy needs to include intended application, e.g., if privacy design includes geospatial resolution. Is there research in privacy of data aggregations as well as individual records? Application, e.g.https://www.bbc.com/news/technology-42853072 …

        0 replies 1 retweet 0 likes
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