There are 0 repository under pgd-attack topic.
An ASR (Automatic Speech Recognition) adversarial attack repository.
vanilla training and adversarial training in PyTorch
Adversarial Network Attacks (PGD, pixel, FGSM) Noise on MNIST Images Dataset using Python (Pytorch)
Implementation of PGD attack on a model trained on cifar10 dataset in TensorFlow. Also, FID between original images and generated images has been calculated.
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.
Implementations for several white-box and black-box attacks.
Adversarial defense by retreaval-based methods
A classical or convolutional neural network model with adversarial defense protection
A classical-quantum or hybrid neural network with adversarial defense protection