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diff --git a/posts/2019-03-14-great-but-manageable-expectations.md b/posts/2019-03-14-great-but-manageable-expectations.md
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--- a/posts/2019-03-14-great-but-manageable-expectations.md
+++ b/posts/2019-03-14-great-but-manageable-expectations.md
@@ -17,7 +17,8 @@ I also attempt to reproduce a seemingly better moment bound for the
Gaussian mechanism with subsampling, with one intermediate step which I
am not able to prove.
-After that I explain the Tensorflow implementation of differential privacy,
+After that I explain the Tensorflow implementation of differential privacy
+in its [Privacy](https://github.com/tensorflow/privacy/tree/master/privacy) module,
which focuses on the differentially private stochastic gradient descent
algorithm (DP-SGD).