Adversarial-Deep-Learning / Adversarial-Deep-Learning/code-soup
Tutorial For One Pixel Attack
Abierto
good first issue
Priority:Medium
Tutorials
- Lenguaje dominante
- Jupyter Notebook
- Estrellas
- 17
- Forks
- 17
- Métricas de merge de PR
- Sin PR fusionados en 30 d
Descripción
Noting down the list of tasks to be completed for the tutorial. The implementation for the attack is in #65 .
Paper [Link](https://arxiv.org/pdf/1710.08864.pdf)
For the sake of simplicity right now focusing on one model and one dataset. (VGG16 , CIFAR10(less noisy than kaggle cifar10) )
- [ ] #79
- [ ] #78
- [ ] Targeted attack on random 300 samples (can be a separate tutorial)
Guía de contribución
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