Skip to content

[CVPR2020] Clean-Label Backdoor Attacks on Video Recognition Models

License

Notifications You must be signed in to change notification settings

ShihaoZhaoZSH/Video-Backdoor-Attack

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Clean-Label Backdoor Attacks on Video Recognition Models

Introduction:

  • Environment: Python3.6.5, TensorFlow-gpu1.14
  • Dataset: UCF101, Model: I3D

Usage:

This is our paper link. You can firstly run train_clean_model.py to get a clean-trained I3D model. The generate_trigger.py and enhance_trigger.py correspond to Backdoor Trigger Generation and Enhancing Backdoor Trigger sections in the paper, respectively. Then you can run train_bad_model.py to train a bad model and run test.py to test it. It's developped based on LossNAN/I3D-Tensorflow.

About

[CVPR2020] Clean-Label Backdoor Attacks on Video Recognition Models

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages