Files

adv_gan
- images
  - results
    - targeted_0_0_0.png
    - targeted_0_1_1.png
    - targeted_0_2_2.png
    - targeted_0_3_3.png
    - targeted_0_4_4.png
    - targeted_0_5_5.png
    - targeted_0_6_6.png
    - targeted_0_7_7.png
    - targeted_0_8_8.png
    - targeted_0_9_9.png
    - targeted_1_0_0.png
    - targeted_1_1_1.png
    - targeted_1_2_2.png
    - targeted_1_3_3.png
    - targeted_1_4_4.png
    - targeted_1_5_5.png
    - targeted_1_6_6.png
    - targeted_1_7_7.png
    - targeted_1_8_8.png
    - targeted_1_9_9.png
    - targeted_9_0_0.png
    - targeted_9_1_1.png
    - targeted_9_2_2.png
    - targeted_9_3_3.png
    - targeted_9_4_4.png
    - targeted_9_5_5.png
    - targeted_9_6_6.png
    - targeted_9_7_7.png
    - targeted_9_8_8.png
    - targeted_9_9_9.png
    - untargeted_0_9.png
    - untargeted_1_3.png
    - untargeted_2_8.png
    - untargeted_3_8.png
    - untargeted_4_4.png
    - untargeted_5_3.png
    - untargeted_6_8.png
    - untargeted_7_3.png
    - untargeted_8_3.png
    - untargeted_9_8.png
  - 0.jpg
  - 1.jpg
  - 2.jpg
  - 3.jpg
  - 4.jpg
  - 5.jpg
  - 6.jpg
  - 7.jpg
  - 8.jpg
  - 9.jpg
- saved
- README.md
- advgan.py
- discriminators.py
- generators.py
- prepare_dataset.py
- target_models.py
- test_function.py
- train_advgan.py
- train_function.py
- train_target_models.py
fgsm
gat
iterative
one_pixel_attack
random_perturbations
spatially_transformed
README.md