Introduction

This is the testbed for BRP:Gradient-based Adversarial Attacks on Neural Network Classifiers

To use the testbed, please install pytorch 1.2.0 and torchvision 0.2.2

Using run_exp.py to run the experiments.

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
.idea		.idea
__pycache__		__pycache__
dataset		dataset
saved_model		saved_model
.gitignore		.gitignore
CNN.py		CNN.py
CNN_MNIST.py		CNN_MNIST.py
MLP.py		MLP.py
MyDataset.py		MyDataset.py
README.md		README.md
WCNN.py		WCNN.py
adaboost.py		adaboost.py
adaboost_torch.py		adaboost_torch.py
adversary_attack.py		adversary_attack.py
attack.py		attack.py
attack_dfme.py		attack_dfme.py
base_learner.py		base_learner.py
cnn.pth		cnn.pth
common.py		common.py
custom_loss_functions.py		custom_loss_functions.py
defense.py		defense.py
delete.py		delete.py
grad_approx.py		grad_approx.py
ms_attack.log		ms_attack.log
nets.py		nets.py
random_test_code.py		random_test_code.py
resnet.py		resnet.py
run_exp.py		run_exp.py
samme_weighted.py		samme_weighted.py
samme_weighted_latest.py		samme_weighted_latest.py
trades.py		trades.py
weighted_loss.py		weighted_loss.py

Kanish77/BRP-AdversarialAttacks