anishmadan23 / adversarial-attacks-pytorch Public

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This repository contains implementation of 4 adversarial attacks : FGSM, Basic Iterative Method, Projected Gradient Descent(Madry's Attack), and Carlini Wagner's L2 attack. Also contained is the code to visualise it, along with a detailed report and a poster explaining the various attacks.

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
.ipynb_checkpoints		.ipynb_checkpoints
__pycache__		__pycache__
.gitignore		.gitignore
Adv_Attack_Poster.pdf		Adv_Attack_Poster.pdf
Adversarial_Attacks_Report.pdf		Adversarial_Attacks_Report.pdf
BIM.ipynb		BIM.ipynb
BIM.py		BIM.py
CW_L2.ipynb		CW_L2.ipynb
FGSM.ipynb		FGSM.ipynb
FGSM.py		FGSM.py
MadryLoss1.png		MadryLoss1.png
MadryLossMany.png		MadryLossMany.png
MadryLossMany1.png		MadryLossMany1.png
Model.ipynb		Model.ipynb
Model.py		Model.py
README.md		README.md
Top1_acc_targeted.png		Top1_acc_targeted.png
Top1_targeted.png		Top1_targeted.png
Top1_untargeted.png		Top1_untargeted.png
Top5_targeted.png		Top5_targeted.png
Top5_untargeted.png		Top5_untargeted.png
Untitled.ipynb		Untitled.ipynb
cw_l2.py		cw_l2.py
cwl2.png		cwl2.png
cwl2_1.png		cwl2_1.png
cwl2_2.png		cwl2_2.png
main1.ipynb		main1.ipynb
main1.py		main1.py
main2.ipynb		main2.ipynb
main2.py		main2.py
model_and_data.ipynb		model_and_data.ipynb
model_and_data.py		model_and_data.py
pickled_id_label_imagenet_map		pickled_id_label_imagenet_map
random_testing.ipynb		random_testing.ipynb
targetedBIM.ipynb		targetedBIM.ipynb
targetedBIM.py		targetedBIM.py
targetedFGSM.ipynb		targetedFGSM.ipynb
targetedFGSM.py		targetedFGSM.py
test_main.py		test_main.py
top5_acc_targeted.png		top5_acc_targeted.png
utils.ipynb		utils.ipynb
utils.py		utils.py
val_urls.txt		val_urls.txt
valid_urls.txt		valid_urls.txt
valid_urls1.txt		valid_urls1.txt
valid_urls2.txt		valid_urls2.txt
valid_urls3.txt		valid_urls3.txt
valid_urls4.txt		valid_urls4.txt
valid_urls5.txt		valid_urls5.txt
visualize.py		visualize.py