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Python package to create adversarial agents for membership inference attacks againts machine learning models

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`sklearn.utils.validation` has some useful funcs to validate X, y inputs and arrays like `check_Xy` and `check_array`

With a tf.keras model everything blows up :/. 1. Copy model instead of `sklearn.base.clone` 2. Shadow models behave weird with `keras.models.Model` instances 3. crazy results of shadow models

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