| Hyperparticle/one-pixel-attack-keras |
1,078 |
|
0 |
0 |
over 5 years ago |
0 |
|
4 |
mit |
Jupyter Notebook |
| Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet |
| THUYimingLi/backdoor-learning-resources |
888 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
|
| A list of backdoor learning resources |
| carlini/nn_robust_attacks |
519 |
|
0 |
0 |
over 5 years ago |
0 |
|
4 |
other |
Python |
| Robust evasion attacks against neural network to find adversarial examples |
| metal-crow/Dark-Souls-PvP-AI |
293 |
|
0 |
0 |
about 5 years ago |
0 |
|
5 |
gpl-2.0 |
C |
| AI for playing (and winning) in dark souls pvp |
| danielzuegner/nettack |
187 |
|
0 |
0 |
almost 4 years ago |
0 |
|
1 |
mit |
Python |
| Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data". |
| kennysong/adversarial.js |
120 |
|
0 |
0 |
about 4 years ago |
0 |
|
2 |
|
JavaScript |
| Break neural networks in your browser 🦹♂️ |
| usnistgov/trojai-literature |
102 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
|
|
| bethgelab/AnalysisBySynthesis |
57 |
|
0 |
0 |
over 4 years ago |
0 |
|
4 |
apache-2.0 |
Python |
| Adversarially Robust Neural Network on MNIST. |
| dongyp13/Robust-and-Explainable-Machine-Learning |
48 |
|
0 |
0 |
about 8 years ago |
0 |
|
1 |
|
|
| Related materials for robust and explainable machine learning |
| revbucket/mister_ed |
47 |
|
0 |
0 |
almost 7 years ago |
0 |
|
1 |
|
Python |
| Pytorch Adversarial Attack Framework |
