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v3.2.5
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Harry24k committed Mar 24, 2022
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1 change: 1 addition & 0 deletions README.md
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| **DIFGSM**<br />(Linf) | Improving Transferability of Adversarial Examples with Input Diversity ([Xie et al., 2019](https://arxiv.org/abs/1803.06978)) | :heart_eyes: Contributor [taobai](https://github.com/tao-bai) |
| **TIFGSM**<br />(Linf) | Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks ([Dong et al., 2019](https://arxiv.org/abs/1904.02884)) | :heart_eyes: Contributor [taobai](https://github.com/tao-bai) |
| **Jitter**<br />(Linf) | Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks ([Schwinn, Leo, et al., 2021](https://arxiv.org/abs/2105.10304)) | |
| **Pixle**<br />(L0) | Pixle: a fast and effective black-box attack based on rearranging pixels ([Pomponi, Jary, et al., 2022](https://arxiv.org/abs/2202.02236)) | |



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16 changes: 15 additions & 1 deletion UPDATE_HISTORY.md
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### v3.2.4

* `save`, `MultiAttack`: `return_verbose` can be `True `even if `verbose=False`.
* `save`, `MultiAttack`: `return_verbose` can be `True `even if `verbose=False`.






### v3.2.5

* `Pixle` is added.
* `save`: Now saving images and labels for every batch.
* `OnePixel`: Now supports targeted version.
* `_get_target_label`: Now generates target label under evaluation mode and `torch.no_grad()`.
2 changes: 1 addition & 1 deletion torchattacks/__init__.py
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from .attacks.jitter import Jitter
from .attacks.pixle import Pixle

__version__ = '3.2.4'
__version__ = '3.2.5'

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