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zeynep's profile
zeynep tufekci
zeynep tufekci
zeynep tufekci
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@zeynep

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zeynep tufekciVerified account

@zeynep

Complex systems, wicked problems. Society, technology, science and more. @UNC professor. @NYTimes columnist. My newsletter is @insight: http://www.theinsight.org 

floating in a most peculiar way
theinsight.org
Joined August 2009

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    1. zeynep tufekci‏Verified account @zeynep 27 Mar 2019

      Machine learning runs on data which fuels surveillance. But there *are* privacy-preserving ML techniques that could—SHOULD—take over. Why isn't it done? Same reason solar tech doesn't develop without regulation and with cheap oil. My latest for @Wired. https://www.wired.com/story/machines-shouldnt-have-to-spy-on-us-to-learn/ …pic.twitter.com/RoYkURQ2Ih

      7 replies 115 retweets 218 likes
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      zeynep tufekci‏Verified account @zeynep 28 Mar 2019

      zeynep tufekci Retweeted Adorable Deathkitten

      Yes. Regulation and boundaries can and does spur innovation.https://twitter.com/TervicSijamrak/status/1111105995122442240 …

      zeynep tufekci added,

      Adorable Deathkitten @TervicSijamrak
      I know some other companies are working on various digital security products that can operate on encrypted data, so there is some hope for the future. I'm hoping that we can get better/real data privacy laws passed, which will further promote work in this area. https://twitter.com/zeynep/status/1110878067583565824 …
      5:32 AM - 28 Mar 2019
      • 7 Retweets
      • 25 Likes
      • anne 🎓 está formada 🎓 Richard Tomsett Christopher Nora Abdulkarim نورة الدعيجي Adorable Deathkitten M. Back Home Tinfoil 2.0 😱 Albert Rachel Thomas
      2 replies 7 retweets 25 likes
        1. New conversation
        2. David Chase‏ @Dr2chase 28 Mar 2019
          Replying to @zeynep

          I thought these were computationally still very expensive (where "very" means galactically unaffordable). https://en.wikipedia.org/wiki/Homomorphic_encryption … I don't know enough to say for sure, but some mathematical problems are also intractable to innovation, and this might be one of them.

          1 reply 0 retweets 0 likes
        3. Richard Tomsett‏ @richardtomsett 15 Apr 2019
          Replying to @Dr2chase @zeynep

          HE/FHE is expensive but moving towards feasibility. I sit down the corridor from a very smart team working on it. It’s no longer impossible for some problems, but still requires careful system design to ensure end to end privacy.

          1 reply 0 retweets 0 likes
        4. Show replies
        1. Richard Tomsett‏ @richardtomsett 15 Apr 2019
          Replying to @zeynep @math_rachel

          Quite a lot of our work is spurred by privacy constraints - how do you do distributed ML without data exchange and information leakage?

          0 replies 0 retweets 0 likes
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