pgd-attack

Here are 12 public repositories matching this topic...

hammaad2002 / ASRAdversarialAttacks

An ASR (Automatic Speech Recognition) adversarial attack repository.

transformers asr adversarial-machine-learning adversarial-attacks carlini-wagner huggingface pgd-adversarial-attacks transformers-library huggingface-transformer carlini-wagner-attack huggingface-transformers huggingface-library transformers-models wav2vec2 fgsm-attack pgd-attack transformers-model projected-gradient-desent

Updated Nov 7, 2023
Jupyter Notebook

fanghenshaometeor / vanilla-adversarial-training

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vanilla training and adversarial training in PyTorch

deep-learning pytorch vgg cifar10 wideresnet cifar100 adversarial-training adversarial-attack vanilla-training fgsm-attack pgd-attack

Updated Feb 19, 2022
Python

deepmancer / adversarial-attacks-robustness

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Evaluating CNN robustness against various adversarial attacks, including FGSM and PGD.

deep-learning notebook cnn pytorch robustness adversarial-attacks pgd-adversarial-attacks fgsm-attack pgd-attack targetted-attacks

Updated Aug 16, 2024
Jupyter Notebook

Shreyasi2002 / Adversarial_Attack_Defense

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This work is based on enhancing the robustness of targeted classifier models against adversarial attacks. To achieve this, a convolutional autoencoder-based approach is employed that effectively counters adversarial perturbations introduced to the input images.

deep-neural-networks cnn classification autoencoder vgg16 defense adversarial-attacks fgsm-attack pgd-attack

Updated Dec 23, 2023
Jupyter Notebook

ericyoc / adversarial-defense-cnn-poc

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A classical or convolutional neural network model with adversarial defense protection

ai ml convolutional-neural-network adversarial-examples mnist-handwriting-recognition adversarial-attacks adversarial-training white-box-attacks carlini-wagner-attack emnist-digits fgsm-attack pgd-attack

Updated Sep 4, 2024
Jupyter Notebook

aaaastark / adversarial-network-attack-noise-on-mnist-dataset-pytorch

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Adversarial Network Attacks (PGD, pixel, FGSM) Noise on MNIST Images Dataset using Python (Pytorch)

python machine-learning time deep-learning numpy torch pytorch mnist mnist-dataset matplotlib adversarial-networks cv2 skimage adversarial-attacks torchvision pixel-attack fgsm-attack pgd-attack

Updated Jun 29, 2022

abhijitpal1247 / Projected-Gradient-Descent-with-CIFAR10

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Implementation of PGD attack on a model trained on cifar10 dataset in TensorFlow. Also, FID between original images and generated images has been calculated.

tensorflow adversarial-attacks tensorflow2 pgd-attack