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goodfeli committed Aug 17, 2017
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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -78,12 +78,12 @@ To help you get started with the functionalities provided by this library, the
tutorial covers how to train a MNIST model using TensorFlow,
craft adversarial examples using the [fast gradient sign method](https://arxiv.org/abs/1412.6572),
and make the model more robust to adversarial examples using adversarial training.
* **MNIST with FGSM using Keras** ([code](tutorials/mnist_tutorial_keras_tf.py), [tutorial](tutorials/mnist_tutorial_keras_tf.md)): this
* **MNIST with FGSM using Keras** ([code](tutorials/mnist_tutorial_keras_tf.py)): this
tutorial covers how to define a MNIST model with Keras and train it using TensorFlow,
craft adversarial examples using the [fast gradient sign method](https://arxiv.org/abs/1412.6572),
and make the model more robust to adversarial
examples using adversarial training.
* **MNIST with JSMA** ([code](tutorials/mnist_tutorial_jsma.py), [tutorial](tutorials/mnist_tutorial_jsma.md)): this second
* **MNIST with JSMA** ([code](tutorials/mnist_tutorial_jsma.py)): this second
tutorial covers how to define a MNIST model with Keras and train it using TensorFlow and
craft adversarial examples using the [Jacobian-based saliency map approach](https://arxiv.org/abs/1511.07528).
* **MNIST using a black-box attack** ([code](tutorials/mnist_blackbox.py)):
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148 changes: 0 additions & 148 deletions tutorials/mnist_tutorial_keras_tf.md

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