pgd-attack

Here are 14 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

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

Updated Nov 9, 2020
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

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

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

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

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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.

python deep-learning adversarial-attacks adversarial-training gradient-masks fgsm-attack pgd-attack

Updated Apr 27, 2025
Python

GeorgeMLP / adversarial-attacks

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

adversarial-attacks cw-attack zoo-attack fgsm-attack pgd-attack

Updated Aug 25, 2021
Python

mbcienz / Adversarial-Robustness-Evaluation-of-a-Deep-Face-Recognition-System

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Evaluated the robustness of a deep face recognition model (InceptionResNetV1) against adversarial attacks. Tested multiple attack types, analyzed transferability, and implemented a defense system using specialized detectors to improve security while preserving accuracy.