from .badnet import BadNet
[docs]class SSBA(BadNet):
r"""Invisible backdoor attack with sample-specific triggers
basic structure:
1. config args, save_path, fix random seed
2. set the clean train data and clean test data
3. set the attack img transform and label transform
4. set the backdoor attack data and backdoor test data
5. set the device, model, criterion, optimizer, training schedule.
6. attack or use the model to do finetune with 5% clean data
7. save the attack result for defense
.. code-block:: python
attack = SSBA()
attack.attack()
.. Note::
@inproceedings{ssba,
title={Invisible backdoor attack with sample-specific triggers},
author={Li, Yuezun and Li, Yiming and Wu, Baoyuan and Li, Longkang and He, Ran and Lyu, Siwei},
booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
year={2021}}
Args:
attack (string): name of attack, use to match the transform and set the saving prefix of path.
attack_target (Int): target class No. in all2one attack
attack_label_trans (str): which type of label modification in backdoor attack
pratio (float): the poison rate
bd_yaml_path (string): path for yaml file provide additional default attributes
attack_train_replace_imgs_path (string): path for the poisoned imgs array for training
attack_test_replace_imgs_path (string): path for the poisoned imgs array for testing
resource_folder_path (string): where the resource folder is
**kwargs (optional): Additional attributes.
"""