Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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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 | ||||||||||
One Pixel Attack Keras | 1,078 | 3 years ago | 4 | mit | Jupyter Notebook | |||||
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet | ||||||||||
Procedural Advml | 40 | 3 years ago | mit | Jupyter Notebook | ||||||
Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19) | ||||||||||
Adversarial Medicine | 38 | 5 years ago | 1 | mit | Jupyter Notebook | |||||
Code for the paper "Adversarial Attacks Against Medical Deep Learning Systems" | ||||||||||
Cleverhans Attacking Bnns | 17 | 6 years ago | 1 | mit | Python | |||||
Source for paper "Attacking Binarized Neural Networks" | ||||||||||
Advml Traffic Sign | 15 | 6 years ago | mit | Jupyter Notebook | ||||||
Code for the 'DARTS: Deceiving Autonomous Cars with Toxic Signs' paper | ||||||||||
Translearn | 14 | 5 years ago | 1 | mit | Python | |||||
Code implementation of the paper "With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning", at USENIX Security 2018 | ||||||||||
Interpretable_cnns_via_feedforward_design | 12 | 5 years ago | Jupyter Notebook | |||||||
Official Implementation for FF_designed CNNs | ||||||||||
Padify | 8 | 4 years ago | 5 | mit | Python | |||||
Framework to perform PAD (Presentation Attack Detection) on Facial Recognition systems through intrinsic properties and Deep Neural Networks - Still Under Development | ||||||||||
Ddos Ml Detection | 8 | 4 years ago | 1 | apache-2.0 | Python | |||||
Detects DDOS attacks using ML |