Viewing profile — m0nster
m0nster
HN member- Joined
- Mon, Sep 02, 2013, 9:53 PM UTC
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About m0nster
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Recent public activity
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Comment #25277716
Absolutely. They're doing a great job at UKAN!
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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…
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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…
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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…
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Comment #25276756
True, Amnesia can also be run locally!
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Comment #25276689
ARX (see other comment in this thread) also supports data anonymization for privacy-preserving machine learning.
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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…
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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…
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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…