Nips17_adv_attack
Tensorflow Implementation of adversarial learning based adversarial example generator
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Foolbox | 2,600 |  | 9 | 5 | 5 months ago | 70 | April 02, 2022 | 26 | mit | Python |
| A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX | ||||||||||
| One Pixel Attack Keras | 1,078 | 4 years ago | 4 | mit | Jupyter Notebook | |||||
| Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet | ||||||||||
| Tensorflow Adversarial | 204 | 5 years ago | 3 | mit | Python | |||||
| Crafting adversarial images | ||||||||||
| Free_adv_train | 95 | 5 years ago | 3 | Python | ||||||
| Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training. | ||||||||||
| Adversarial Learning Robustness | 71 | 3 years ago | apache-2.0 | Jupyter Notebook | ||||||
| Contains materials for workshops pertaining to adversarial robustness in deep learning. | ||||||||||
| Jpeg Defense | 65 | 6 years ago | mit | Python | ||||||
| SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression | ||||||||||
| Gan Leaks | 35 | 2 years ago | mit | Python | ||||||
| Official implementation of "GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models" (CCS 2020) | ||||||||||
| Adversarial Transformation Network | 25 | 7 years ago | 1 | gpl-3.0 | Python | |||||
| A simple implement of an Adversarial Autoencoding ATN(AAE ATN) | ||||||||||
| Adversarialattack | 22 | 10 months ago | 1 | Python | ||||||
| FGSM, DeepFool and CW attack implementation using TensorFlow 2.0 | ||||||||||
| Robust_audio_ae | 22 | 5 years ago | bsd-2-clause | Python | ||||||
| Robust Audio Adversarial Example for a Physical Attack | ||||||||||
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Python
Tensorflow
Attack
Nips 2017