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Another fun one was the Netflix Prize, where Netflix published an anonymized dataset, but some researchers at UT Austin were able to de-identify many/most of th
by willseth 3y ago
Another fun one was the Netflix Prize, where Netflix published an anonymized dataset, but some researchers at UT Austin were able to de-identify many/most of the users in the dataset by linking them to IMDB profiles based on preferences.
- jeffbee 3y agoThere's no way most of the users in the Netflix data had IMDb accounts.
- e12e 3y agoFrom a skim, it looks like their main point is that with 8 movie ratings, it's trivial to link two datasets (eg anonymized Netflix rating to public IMDb profile). https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rejZUEkAAAAJ&citation_for_view=rejZUEkAAAAJ:u-x6o8ySG0sC https://scholar.google.com/citations?view_op=view_citation&h... https://systems.cs.columbia.edu/private-systems-class/papers/Narayanan2008Robust.pdf https://systems.cs.columbia.edu/private-systems-class/papers...
- frankyg 3y agoI have thoughts like that all the time but then I remember how many people have accounts at xyz at all and how often I created an account on abc, made a list or two and never returned (until I did). I have over 600 logins saved in my password manager and "holy fuck shit" some of the data on these sites is still "part of me", I just don't actively spend time on it. It's all quite usable.
- PH95VuimJjqBqy 3y agothank you, that was my first thought. there's hyperbole and then there's whatever that claim was. I don't want to call it a lie so lets just call it a gross exaggeration. many I would have been fine with. most? no way.