[sirgawain33]

Differential Privacy is a mathematical property. Here is the precise definition:

https://en.wikipedia.org/wiki/Differential_privacy#Definitio...

One way to phrase it intuitively is "the probability of any particular output from two databases that differ by one element is almost the same". The bound on "almost" is captured by the privacy parameter ε.

One of the smoking guns that this algorithm is not differentially private is that the code doesn't import `random` anywhere! A differentially private algorithm is always going to be stochastic.

[awinter-py]

I've removed refs to differential privacy from the repo -- I think you're right and I misused the term