Plug-and-play differential privacy for your tensorflow code
#GoogleAI has just released a new library for training machine learning models with (differential) privacy for training data.
where you would write tf.train.GradientDescentOptimizer
instead just swap in the DPGradientDescentOptimizer
Tutorial: https://github.com/tensorflow/privacy/blob/master/tutorials/mnist_dpsgd_tutorial.py
Link: https://github.com/tensorflow/privacy
#Privacy #tensorflow
🔗 tensorflow/privacy
Library for training machine learning models with privacy for training data - tensorflow/privacy
#GoogleAI has just released a new library for training machine learning models with (differential) privacy for training data.
where you would write tf.train.GradientDescentOptimizer
instead just swap in the DPGradientDescentOptimizer
Tutorial: https://github.com/tensorflow/privacy/blob/master/tutorials/mnist_dpsgd_tutorial.py
Link: https://github.com/tensorflow/privacy
#Privacy #tensorflow
🔗 tensorflow/privacy
Library for training machine learning models with privacy for training data - tensorflow/privacy
GitHub
privacy/tutorials/mnist_dpsgd_tutorial.py at master · tensorflow/privacy
Library for training machine learning models with privacy for training data - tensorflow/privacy
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