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Differential privacy does not anonymize your data. It's a (mathematically solid) instrument to make it coarse enough to only give up the part you want. The EFF
by orbital-decay 3y ago
Differential privacy does not anonymize your data. It's a (mathematically solid) instrument to make it coarse enough to only give up the part you want.
The EFF is completely correct in their assessment - there's no way to make your data anonymous and usable by the third party at the same time. The root issue lies elsewhere.
There's FHE, which does allow your data to be processed without accessing it, but it has prohibitive compute requirements and isn't practical for most purposes. I'm not sure if it allows the data to be usable enough without revealing it, either.
- Godel_unicode 3y ago> there's no way to make your data anonymous and usable by the third party at the same time. The This is absurd hyperbole, here’s a trivial proof. The US population is 51.1% female. If you live in the US your gender information is included in this data point, but it cannot be de-anonymized. It is however useful for determining TAM for many products. Anonymity is a spectrum, and there are many points along that spectrum which are solutions to usable data which also respects privacy.
- JohnFen 3y agoPrivacy is a spectrum, anonymity is not.