"Neural Computing and Applications" Published Paper (2023)
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Oct 10, 2024 - Python
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pgd-attack
Here are 12 public repositories matching this topic...
A classical-quantum or hybrid neural network with adversarial defense protection
ai
ml
mnist-classification
quantum-circuit
adversarial-examples
mnist-handwriting-recognition
adversarial-attacks
cirq
adversarial-training
carlini-wagner-attack
emnist-digits
fgsm-attack
pgd-attack
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Sep 4, 2024 - Jupyter Notebook
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
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Sep 4, 2024 - Jupyter Notebook
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
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Aug 16, 2024 - Jupyter Notebook
Adversarial defense by retreaval-based methods
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Feb 17, 2024 - Python
Developed robust image classification models to prevent the effect of adversarial attacks
cifar-10
adversarial-attacks
resnet-18
gaussian-noise
defense-mechanism
carlini-wagner-attack
fgsm-attack
pgd-attack
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Dec 29, 2023 - Jupyter Notebook
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
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Dec 23, 2023 - Jupyter Notebook
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
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Nov 7, 2023 - Jupyter Notebook
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
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Jun 29, 2022
vanilla training and adversarial training in PyTorch
deep-learning
pytorch
vgg
cifar10
wideresnet
cifar100
adversarial-training
adversarial-attack
vanilla-training
fgsm-attack
pgd-attack
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Feb 19, 2022 - Python
Implementations for several white-box and black-box attacks.
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Aug 25, 2021 - Python
Implementation of PGD attack on a model trained on cifar10 dataset in TensorFlow. Also, FID between original images and generated images has been calculated.
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Nov 9, 2020 - Jupyter Notebook
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