Skip to content

Farhamdur/CGBA

Repository files navigation

Welcome to our repository featuring the official implementation of the CGBA algorithm. This work is accepted for publication in ICCV 2023.
The arXiv version of the paper is available here.

Requirements

Before executing the code, ensure that the following packages are installed in your environment:

  • PyTorch and Trochvision
  • Numpy
  • Os
  • SciPy

Or you can type the following to create an environment:

conda env create -f cgba_env.yml

Run

  1. To execute the non-targeted attack, run Non_targeted_attack.py.
  2. To execute the targeted attack, run Targeted_attack.py.

Citation

Please consider citing our paper in your publications if it contributes to your research.

@InProceedings{Reza_2023_ICCV,
    author    = {Reza, Md Farhamdur and Rahmati, Ali and Wu, Tianfu and Dai, Huaiyu},
    title     = {CGBA: Curvature-aware Geometric Black-box Attack},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2023},
    pages     = {124-133}
}

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages