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@ -6,6 +6,8 @@ library that includes implementations of TensorFlow optimizers for training
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machine learning models with differential privacy. The library comes with
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tutorials and analysis tools for computing the privacy guarantees provided.
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The TensorFlow Privacy library is under continual development, always welcoming
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contributions. In particular, we always welcome help towards resolving the
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issues currently open.
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