Adversarial-Deep-Learning / Adversarial-Deep-Learning/code-soup
Non targeted One Pixel Attack on random 500 samples
Aperta
good first issue
Priority:Medium
Tutorials
- Lingua principale
- Jupyter Notebook
- Stelle
- 17
- Fork
- 17
- Metriche di merge delle PR
- Nessuna PR unita negli ultimi 30g
Descrizione
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
Guida per i contributori
Apri la guida per i contributori
Valutazione
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