Differentially private techniques guarantee privacy while often permitting accurate answers
...this is something I have been reading up on lately as a means of preserving user privacy/anonymity. As of yet, however, I haven't found any examples of it being applied in a real-world setting. Instead, I am seeing it in academic papers, and discussed mathematically.
Is anyone aware of how exactly this would be applied to real-world data, or indeed, know of any examples? I'm finding it very hard to make the transition from reading about it, to how I might actually go about applying it. If nobody else is applying it then I doubt I have the skills to be the first and so don't want to waste my time flogging a dead horse.