Closed TedTed closed 5 months ago
From https://github.com/WICG/attribution-reporting-api/blob/main/AGGREGATE.md#differential-privacy:
noise distributed according to Laplace(epsilon / L1) should achieve epsilon differential privacy
You probably meant "Laplace(L1 / epsilon)" here. I assume the code is doing the right thing (this page is correct) but I haven't checked.
Thanks, yes this is a typo!
From https://github.com/WICG/attribution-reporting-api/blob/main/AGGREGATE.md#differential-privacy:
You probably meant "Laplace(L1 / epsilon)" here. I assume the code is doing the right thing (this page is correct) but I haven't checked.