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Christopher Choquette Choo 2019-07-22 11:30:29 -04:00
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privacy/bolton/README.md
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# 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 of methods used in the ensuring privacy in machine learning that leverages
additional assumptions to provide a new way of approaching the privacy additional assumptions to provide a new way of approaching the privacy
guarantees. guarantees.
@ -30,12 +30,12 @@ and no noising.
## Tutorials ## 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. under boton_tutorial.py.
## Contribution ## 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 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: 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 https://medium.com/apache-mxnet/epsilon-differential-privacy-for-machine-learning-using-mxnet-a4270fe3865e