forked from 626_privacy/tensorflow_privacy
13 lines
494 B
Markdown
13 lines
494 B
Markdown
# TensorFlow Privacy
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This repository will contain implementations of TensorFlow optimizers that
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support training machine learning models with (differential) privacy, as well
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as tutorials and analysis tools for computing the privacy guarantees provided.
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The content of this repository will superseed the following existing repository:
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https://github.com/tensorflow/models/tree/master/research/differential_privacy
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# Contact
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* Steve Chien (schien@google.com)
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* Nicolas Papernot (@npapernot)
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