Adversarial-Deep-Learning / Adversarial-Deep-Learning/code-soup
Non targeted One Pixel Attack on random 500 samples
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good first issue
Priority:Medium
Tutorials
- 主要语言
- Jupyter Notebook
- 星标
- 17
- 派生
- 17
- PR 合并指标
- 30 天内没有已合并 PR
描述
This will be one of the tutorials for One Pixel Attack using VGG16 and CIFAR10 (open to discussion if difficult). Try to include the visualizations in original paper. [Link](https://arxiv.org/pdf/1710.08864.pdf)
The following is the minimum requirement:-
- [ ] attack on 500 random samples
- [ ] Attack using 1/3/5 Pixel(s)
- [ ] Accuracy and Confidence analysis
- [ ] Pre and Post attack Image visualizations
贡献指南
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