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m0nster

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Joined
Mon, Sep 02, 2013, 9:53 PM UTC
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About m0nster

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Recent public activity

  1. comment
    Comment #25277716

    Absolutely. They're doing a great job at UKAN!

  2. comment
    Comment #25277709

    True. For this reason, even anonymous data can usually not be shared as open data. You have to control the environment in which the data is used to control what is "reasonably like…

  3. comment
    Comment #25277010

    Also with synthetic data, there is an inherent trade-off between privacy risks and the usefulness of the data produced. However, this trade-off can be of a different nature, result…

  4. comment
    Comment #25276982

    In my experience, this is a question of interpretation (see e.g. Recital 26 and the question of what is "reasonably likely"). You can ask ten different experts, and you will get te…

  5. comment
    Comment #25276756

    True, Amnesia can also be run locally!

  6. comment
    Comment #25276689

    ARX (see other comment in this thread) also supports data anonymization for privacy-preserving machine learning.

  7. comment
    Comment #25276035

    If you're interested in tools such as Amnesia, you might also want to take a look at ARX, which supports much more anonymization methods, including Differential Privacy: https://ar…

  8. comment
    Comment #17750753

    ARX [1, 2] is an open source software that (among other features) supports most of the methods mentioned in this thread. Full disclosure: I'm one of the developers of ARX. [1] Webs…

  9. comment
    Comment #10457756

    While data de-identification surely has its limits, it is useful in many contexts. If someone is interested in tools for data de-identification, ARX [1, 2] is an open source softwa…