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| author | Yuchen Pei <me@ypei.me> | 2019-03-14 12:08:11 +0100 |
|---|---|---|
| committer | Yuchen Pei <me@ypei.me> | 2019-03-14 12:08:11 +0100 |
| commit | fe2e0bd3d11091e0206e1820ef78c1bef31c8b4b (patch) | |
| tree | 2f9811bdbb9d48c57f5fa1914ef1b45e7d3560db | |
| parent | b54d76a78c4c18e8a59fa6d1771e1709b694980f (diff) | |
minor change
| -rw-r--r-- | posts/2019-03-14-great-but-manageable-expectations.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/posts/2019-03-14-great-but-manageable-expectations.md b/posts/2019-03-14-great-but-manageable-expectations.md index 39c3487..575eb76 100644 --- a/posts/2019-03-14-great-but-manageable-expectations.md +++ b/posts/2019-03-14-great-but-manageable-expectations.md @@ -524,7 +524,7 @@ discuss the package in the current state (2019-03-11). It is divided into two parts: [`optimizers`](https://github.com/tensorflow/privacy/tree/master/privacy/optimizers) which implements the actual differentially private algorithms, and [`analysis`](https://github.com/tensorflow/privacy/tree/master/privacy/analysis) which computes the privacy guarantee. -The `analysis` parts implements a privacy ledger that \"keeps a record +The `analysis` part implements a privacy ledger that \"keeps a record of all queries executed over a given dataset for the purpose of computing privacy guarantees\". On the other hand, all the computation is done in [`rdp_accountant.py`](https://github.com/tensorflow/privacy/blob/7e2d796bdee9b60dce21a82a397eefda35b0ac10/privacy/analysis/rdp_accountant.py). |