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author | Yuchen Pei <me@ypei.me> | 2019-03-14 09:46:51 +0100 |
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committer | Yuchen Pei <me@ypei.me> | 2019-03-14 09:46:51 +0100 |
commit | 2752d7936408b4f8c29a2625911173fb388c96aa (patch) | |
tree | b22efaeff65764744697f075fc15e08f34871da6 | |
parent | 89fdbc2e8e2f2cda307a18d6bffd3da46db095f5 (diff) |
minor fix
-rw-r--r-- | posts/2019-03-13-a-tail-of-two-densities.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/posts/2019-03-13-a-tail-of-two-densities.md b/posts/2019-03-13-a-tail-of-two-densities.md index ea68296..aa23a6a 100644 --- a/posts/2019-03-13-a-tail-of-two-densities.md +++ b/posts/2019-03-13-a-tail-of-two-densities.md @@ -15,7 +15,7 @@ I start with the definition of $\epsilon$-differential privacy $(\epsilon, \delta)$-differential privacy (a.k.a. approximate differential privacy, corresponding to the $\delta$-approximate max divergence). I show a characterisation of the $(\epsilon, \delta)$-differential privacy -conditioned $\epsilon$-differential privacy. +as conditioned $\epsilon$-differential privacy. Also, as examples, I illustrate the $\epsilon$-dp with Laplace mechanism and, using some common tail bounds, the approximate dp with the Gaussian mechanism. |