A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models

This repository is for the paper in the 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024).

Environment

torch==2.0.1
pandas==2.0.3
pillow==10.0.0
torchvision==0.15.2
argparse==1.4.0
tqdm==4.66.1
python-pushover==0.4
matplotlib==3.7.2
numpy==1.25.2

python-pushover is optional, which is a real-time notifications on mobile phone.

Citing

just accepted, still wait for the pages

@InProceedings{guo2024white,
  title={A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models},
  author={Guo, Zhongliang and Li, Weiye and Qian, Yifei and Arandjelovic, Ognjen and Fang, Lei},
  booktitle={Proceedings of The 27th International Conference on Artificial Intelligence and Statistics},
  pages={901--909},
  year={2024},
  volume={238},
  month={02--04 May},
  publisher={PMLR},
}