From 7785436cf3550821c4fab60e0c9517ee6678a90d Mon Sep 17 00:00:00 2001 From: Christopher Choquette Choo Date: Mon, 22 Jul 2019 11:30:29 -0400 Subject: [PATCH] Minor changes to README --- privacy/bolton/README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/privacy/bolton/README.md b/privacy/bolton/README.md index ad3c141..aa140e5 100644 --- a/privacy/bolton/README.md +++ b/privacy/bolton/README.md @@ -1,6 +1,6 @@ -# Bolton Module +# Bolton SubPpckage -This module contains source code for the Bolton method. This method is a subset +This package contains source code for the Bolton method. This method is a subset of methods used in the ensuring privacy in machine learning that leverages additional assumptions to provide a new way of approaching the privacy guarantees. @@ -30,12 +30,12 @@ and no noising. ## Tutorials -This module has a tutorial that can be found in the root tutorials directory, +This package has a tutorial that can be found in the root tutorials directory, under boton_tutorial.py. ## Contribution -This module was initially contributed by Georgian Partners with the hope of +This package was initially contributed by Georgian Partners with the hope of growing the tensorflow/privacy library. There are several rich use cases for delta-epsilon privacy in machine learning, some of which can be explored here: https://medium.com/apache-mxnet/epsilon-differential-privacy-for-machine-learning-using-mxnet-a4270fe3865e