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## Latent HSJA ## Latent HSJA
[![arXiv](https://img.shields.io/badge/arXiv-2208.11613-b31b1b.svg)](https://arxiv.org/abs/2208.11613)
### Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries ### Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries
* This repository provides official PyTorch implementations for <b>Latent-HSJA</b>. * This repository provides official PyTorch implementations for <b>Latent-HSJA</b>.
@ -108,5 +110,12 @@ In this paper, we present a novel method for generating unrestricted adversarial
If this work can be useful for your research, please cite our paper: If this work can be useful for your research, please cite our paper:
<pre> <pre>
Coming soon. @misc{na2022unrestricted,
title={Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries},
author={Dongbin Na and Sangwoo Ji and Jong Kim},
year={2022},
eprint={2208.11613},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
</pre> </pre>