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GitHub topics: pgd-attack

Vamsi-Dath/Adversarial-Attacks-on-Deep-Learning-Models

Exploring the concept of "adversarial attacks" on deep learning models, specifically focusing on image classification using PyTorch. Implementing and demonstrating the Fast Gradient Sign Method (FGSM) and Projected Gradient Descent (PGD) attacks against a Convolutional Neural Network (CNN) and a Recurrent Neural Network (RNN) trained on the MNIST.

Language: Python - Size: 22.7 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

Kahsolt/Retreaval-based-Adversarial-Defense

Adversarial defense by retreaval-based methods

Language: Python - Size: 272 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Inpyo-Hong/Knowledge-distillation-vulnerability-of-DeiT-through-CNN-adversarial-attack

"Neural Computing and Applications" Published Paper (2023)

Language: Python - Size: 61.7 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

ericyoc/adversarial-defense-hnn-poc

A classical-quantum or hybrid neural network with adversarial defense protection

Language: Jupyter Notebook - Size: 5 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

ericyoc/adversarial-defense-cnn-poc

A classical or convolutional neural network model with adversarial defense protection

Language: Jupyter Notebook - Size: 3.5 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 1

deepmancer/adversarial-attacks-robustness

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

Language: Jupyter Notebook - Size: 393 KB - Last synced at: 7 months ago - Pushed at: 9 months ago - Stars: 4 - Forks: 0

Shreyasi2002/Adversarial_Attack_Defense

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.

Language: Jupyter Notebook - Size: 7.67 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

hammaad2002/ASRAdversarialAttacks

An ASR (Automatic Speech Recognition) adversarial attack repository.

Language: Jupyter Notebook - Size: 10 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 1

fanghenshaometeor/vanilla-adversarial-training

vanilla training and adversarial training in PyTorch

Language: Python - Size: 791 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 8 - Forks: 2

GeorgeMLP/adversarial-attacks

Implementations for several white-box and black-box attacks.

Language: Python - Size: 77.7 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

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

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

Size: 3.91 KB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

abhijitpal1247/Projected-Gradient-Descent-with-CIFAR10

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

Language: Jupyter Notebook - Size: 8.6 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 3