Pytorch Adversarial_box
PyTorch library for adversarial attack and training
| 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 | 3 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 | ||||||||||
| Pfllib | 935 | 3 months ago | 7 | gpl-2.0 | Python | |||||
| Personalized federated learning simulation platform with non-IID and unbalanced dataset | ||||||||||
| Deeprobust | 904 |  | 1 | 5 months ago | 13 | November 13, 2023 | 44 | mit | Python | |
| A pytorch adversarial library for attack and defense methods on images and graphs | ||||||||||
| Openattack | 571 | 9 months ago | 7 | September 22, 2021 | 22 | mit | Python | |||
| An Open-Source Package for Textual Adversarial Attack. | ||||||||||
| Pytorch Cnn Adversarial Attacks | 272 | 5 years ago | mit | Python | ||||||
| Pytorch implementation of convolutional neural network adversarial attack techniques | ||||||||||
| Trojanzoo | 260 | 3 months ago | 18 | November 10, 2023 | 14 | gpl-3.0 | Python | |||
| TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning. | ||||||||||
| Backdoors101 | 231 | a year ago | mit | Python | ||||||
| Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors. | ||||||||||
| Pro Gnn | 213 | a year ago | 7 | Python | ||||||
| Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks" | ||||||||||
| Diffai | 167 | 3 years ago | 2 | mit | Python | |||||
| A certifiable defense against adversarial examples by training neural networks to be provably robust | ||||||||||
| Adversarial Library | 123 | 4 months ago | bsd-3-clause | Python | ||||||
| Library containing PyTorch implementations of various adversarial attacks and resources | ||||||||||
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