/Segat

FGSM attack Pytorch module for semantic segmentation networks, with examples provided for Deeplab V3.

Primary LanguagePython

Segat

Segat is a Pytorch project that provides a variety of FGSM attacks for semantic segmentation networks. The module contains an example on the popular architecture Deeplab V3.

Contents

  • segat.py - Pytorch module consisting of various FGSM based attacks for semantic segmentation architectures
  • cocoproc - Some preprocessing tools for the COCO dataset used in the example attack.

License

The code is distributed under a Creative Commons Attribution 4.0 International Public License. If you use this code please attribute to L. Stewart and P. Perez