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| author | Yuchen Pei <me@ypei.me> | 2019-03-14 11:22:31 +0100 |
|---|---|---|
| committer | Yuchen Pei <me@ypei.me> | 2019-03-14 11:22:31 +0100 |
| commit | 59a09ee80a50c4a07aeda9cf6526a67534d5cc54 (patch) | |
| tree | 4e85bb3a4a8e6cf89219c8d6269b2d8517a8b3d7 /posts | |
| parent | 83b0953fa85b4c7a11edc4bc75b205f38e434a75 (diff) | |
minor
Diffstat (limited to 'posts')
| -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 adce24f..95cf5f2 100644 --- a/posts/2019-03-14-great-but-manageable-expectations.md +++ b/posts/2019-03-14-great-but-manageable-expectations.md @@ -522,7 +522,7 @@ The DP-SGD is implemented in [TensorFlow Privacy](https://github.com/tensorflow/privacy). In the following I discuss the package in the current state (2019-03-11). It is divided into two parts: `optimizers` which implements the actual differentially -private algorithm, and `analysis` which computes the privacy guarantee. +private algorithm, 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 of all queries executed over a given dataset for the purpose of |