https://github.com/aaaastark/adversarial-network-attack-noise-on-mnist-dataset-pytorch

Adversarial Network Attacks (PGD, pixel, FGSM) Noise on MNIST Images Dataset using Python (Pytorch)
https://github.com/aaaastark/adversarial-network-attack-noise-on-mnist-dataset-pytorch

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

Last synced: 21 days ago
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Adversarial Network Attacks (PGD, pixel, FGSM) Noise on MNIST Images Dataset using Python (Pytorch)

• Host: GitHub
• URL: https://github.com/aaaastark/adversarial-network-attack-noise-on-mnist-dataset-pytorch
• Owner: aaaastark
• Created: 2022-06-29T12:47:00.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-06-29T13:03:53.000Z (over 2 years ago)
• Last Synced: 2024-11-15T06:36:26.003Z (3 months ago)
• Topics: adversarial-attacks, adversarial-networks, cv2, deep-learning, fgsm-attack, machine-learning, matplotlib, mnist, mnist-dataset, numpy, pgd-attack, pixel-attack, python, pytorch, skimage, time, torch, torchvision
• Homepage: https://github.com/aaaastark/adversarial-network-attack-noise-on-mnist-dataset-pytorch
• Size: 3.91 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

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

#### DataSet: MNIST Images Datasets

#### API that are used in this Project:

- torch

- torchvision

- cv2

- skimage

- numpy

- matplotlib

- time

#### MNIST Images

![download-1](https://user-images.githubusercontent.com/74346775/176441563-96cb346c-70b3-4603-bc60-5db5f2eefbd5.PNG)

#### Adversarial Network PGD Attack

![download-2](https://user-images.githubusercontent.com/74346775/176441605-6b6eef53-3cb9-4ad7-9787-6e42ba9fa463.PNG)

#### Adversarial Network FGSM Attack

![download-3](https://user-images.githubusercontent.com/74346775/176441631-cdac93e1-2fde-40cf-842a-5b3c6e4b4f6e.PNG)

#### Adversarial Network OnePixel Attack

![download-4](https://user-images.githubusercontent.com/74346775/176441657-1d532945-31f7-4eb7-be41-869730a30fa2.PNG)