GeoDA
This repository contains the official PyTorch implementation of GeoDA algorithm. GeoDA is a Black-box attack to generate adversarial example for image classifiers.
Install / Use
/learn @thisisalirah/GeoDAREADME
Geometric Decision-based Attack (GeoDA)
This repository contains the official PyTorch implementation of GeoDA algorithm described in [1]. GeoDA is a Black-box attack to generate adversarial example for image classifiers.
A few examples on the performance of the GeoDA for different norms
Requirements
To execute the code, please make sure that the following packages are installed:
- Foolbox
- NumPy
- PyTorch and Torchvision (install with CUDA if available)
- matplotlib
Contents
GeoDA.py
This function implements the GeoDA algorithm.
utils.py
Includes general functions
data/
Contains some examples for the demos.
Reference
[1] Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, and Huaiyu Dai, GeoDA: a geometric framework for black-box adversarial attacks. in CVF/IEEE Computer Vision and Pattern Recognition (CVPR'20), 2020. [arXiv pre-print]
