Name		Name	Last commit message	Last commit date
parent directory ..
RL-attack		RL-attack
adversarial_patch		adversarial_patch
facenet_adversarial_faces		facenet_adversarial_faces
imagenet_featadvs		imagenet_featadvs
madry_lab_challenges		madry_lab_challenges
multigpu_advtrain		multigpu_advtrain
nips17_adversarial_competition		nips17_adversarial_competition
robust_vision_benchmark		robust_vision_benchmark
README.md		README.md
ex_cifar10_tf.py		ex_cifar10_tf.py
linear_extrapolation_plot_example.py		linear_extrapolation_plot_example.py
mnist_blackbox_keras.py		mnist_blackbox_keras.py
test_imagenet_attacks.py		test_imagenet_attacks.py

README.md

Examples

CIFAR10 with FGSM using the TensorFlow backend (code): this tutorial covers how to train a CIFAR10 model using TensorFlow, craft adversarial examples using the fast gradient sign method, and make the model more robust to adversarial examples using adversarial training.
Adversarial faces using FGSM against Facenet library (code): this example covers how to create adversarial faces using the fast gradient sign method over the Facenet library.

Besides the standard CleverHans dependencies, these examples also require wget.