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Code for the NeurIPS 2024 paper ``Cross-Modality Perturbation Synergy Attack for Person Re-identification".

Paper

Requirements:

  • python 3.7
  • CUDA==11.2
  • faiss-gpu==1.6.0

Preparing Data

  • There is a processed tar file in BaiduYun (Password: 9pmk) with all needed files.

Run our code

See run.sh for more information.

If you find this code useful in your research, please cite:

@article{gong2024cross,
	title={Cross-modality perturbation synergy attack for person re-identification},
	author={Gong, Yunpeng and Zhong, Zhun and Qu, Yansong and Luo, Zhiming and Ji, Rongrong and Jiang, Min},
	journal={Advances in Neural Information Processing Systems},
	volume={37},
	pages={23352--23377},
	year={2024}
}

Acknowledgments

The code is based on LTA, and Random Color Erasing. If you use the code, please cite their paper.

@inproceedings{colorAttack2022,
  title={Person re-identification method based on color attack and joint defence},
  author={Gong, Yunpeng and Huang, Liqing and Chen, Lifei},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={4313--4322},
  year={2022}
}
@article{gong2021eliminate,
  title={Eliminate deviation with deviation for data augmentation and a general multi-modal data learning method},
  author={Gong, Yunpeng and Huang, Liqing and Chen, Lifei},
  journal={arXiv preprint arXiv:2101.08533},
  year={2021}
}

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