Adversarial Examples

This folder contains implementation of papers that generate adversarial examples. Link of papers shall be uploaded soon.

Descriptions of files:

1. Adversarial Examples-CIFAR10-fgm.ipynb: Contains the implementation of "Explaining and Harnessing Adversarial Examples" by Goodfellow et. al.

2. Adversarial Examples-CIFAR10-fgmt.ipynb: Contains the implementation of "ADVERSARIAL EXAMPLES IN THE PHYSICAL WORLD" by Kurakin et. al.

3. Adversarial Exampls.ipynb: Adversarial Examples for MNIST. Same base paper as 1. : File to visualize images

4. CIFAR_tfrecords_training.ipynb: Training LeNet model for CIFAR data. Note that no data augmentation has been performed.

5. adversarial.ipynb: Adversarial example tutorial by Anish Athalye

6. CIFAR_visualisation.ipynb: File to visualize images

7. Adversarial Examples-CIFAR10-jsma.ipynb: Contains implementation of "The Limitations of Deep Learning in Adversarial Settings" by Papernot et. al.

8. Adversarial Examples-CIFAR10-DeepFool.ipynb: Contains implementation of " DeepFool: a simple and accurate method to fool deep neural networks" by Moosavi et. al.