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stde's Introduction

Spatial-Temporal Differential Evolution Patch Attack

Paper code: โ€œEfficient Decision-based Black-box Patch Attacks on Video Recognitionโ€.

Start

git clone https://github.com/deep-kaixun/STDE.git
cd STDE
conda env create -f environment.yaml

Model

C3D are from 3D-ResNets-PyTorch. NL and TPN models are from GluonCV

Pretrained Model

Download here.

Untargeted Attacks

python3 attack.py --batch_size 1 --cf_rate 0.6 --time_mua 1

Targeted Attacks

python3 attack.py --batch_size 1 --cf_rate 0.7 --time_mua 2 --targeted

Acknowledgements

BSCA Paper | Code

Citation

If you use the code or find this project helpful, please consider citing our paper.

@article{jiang2023efficient,
  title={Efficient Decision-based Black-box Patch Attacks on Video Recognition},
  author={Jiang, Kaixun and Chen, Zhaoyu and Huang, Hao and Wang, Jiafeng and Yang, Dingkang and Li, Bo and Wang, Yan and Zhang, Wenqiang},
  journal={arXiv preprint arXiv:2303.11917},
  year={2023}
}

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