TemporaryAcc0unt / composite-attack

This is repository for paper Composite Backdoor Attack for Deep Neural Network by Mixing Existing Benign Features

Dependences:

Python3
Pytorch
numpy
PIL
matplotlib

Currently, this version only works on the attacking CIFAR10, YouTubeFace and COCO with two trigger labels. Support for more attacks is coming soon.

Attack CIFAR10:

python3 attack_cifar.py

Attack YouTubeFace:

1. download weight file for VGGFace https://github.com/prlz77/vgg-face.pytorch
2. prepare dataset following data/prepare_youtubeface.ipynb
3. python3 attack_youtubeface.py

Attack COCO:

bash yolov3/data/get_coco2014.sh
python3 attack_coco.py train
python3 attack_coco.py test
cd yolov3
python3 train.py --data data/coco2014_train_attack.data --epochs 20

The yolov3 framework is ultralytics/yolov3