# natural-adversary

**Repository Path**: advancer-debug/natural-adversary

## Basic Information

- **Project Name**: natural-adversary
- **Description**: Generating Natural Adversarial Examples, ICLR 2018
- **Primary Language**: Unknown
- **License**: BSD-3-Clause
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-01-29
- **Last Updated**: 2024-06-18

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Generating Natural Adversarial Examples
Code for the paper "[Generating Natural Adversarial Examples](https://arxiv.org/abs/1710.11342)", ICLR 2018.


## Reference
```
@inproceedings{zhengli2018iclr,
    title={Generating Natural Adversarial Examples},
    author={Zhao, Zhengli and Dua, Dheeru and Singh, Sameer},
    booktitle={International Conference on Learning Representations (ICLR)},
    year={2018}
}
```


## Dependency
- Image experiments are based on [Gulrajani et al., 2017](https://github.com/igul222/improved_wgan_training)
- Text experiments are based on [Zhao et al., 2017](https://github.com/jakezhaojb/ARAE)

Thanks for making code accessible!