# utkuozbulak/pytorch-cnn-adversarial-attacks

<https://repo.masters-masters.com/en/repos/utkuozbulak/pytorch-cnn-adversarial-attacks>

[Home](https://repo.masters-masters.com/en) › [utkuozbulak](https://repo.masters-masters.com/en/owners/utkuozbulak) › [pytorch-cnn-adversarial-attacks](https://repo.masters-masters.com/en/repos/utkuozbulak/pytorch-cnn-adversarial-attacks)

utkuozbulak/pytorch-cnn-adversarial-attacks has 364 stars on GitHub. Its RepoMasters card: Alpha tier. Pytorch implementation of convolutional neural network…

| Field | Value |
| --- | --- |
| Owner | [utkuozbulak](https://repo.masters-masters.com/en/owners/utkuozbulak) |
| Stars | 364 |
| Forks | 60 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2017 |
| Topics | pytorch, pytorch-tutorial, adversarial-example, fast-gradient-sign, gradient-ascent, fooling-images |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [utkuozbulak/pytorch-cnn-adversarial-attacks](https://github.com/utkuozbulak/pytorch-cnn-adversarial-attacks) |

## Repository

Pytorch implementation of convolutional neural network adversarial attack techniques

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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