lf.py

'''
Rethinking the backdoor attacks' triggers: A frequency perspective
this script is for lf attack

link : https://github.com/YiZeng623/frequency-backdoor
The original license is placed at the end of this file.

@inproceedings{zeng2021rethinking_lf,
  title={Rethinking the backdoor attacks' triggers: A frequency perspective},
  author={Zeng, Yi and Park, Won and Mao, Z Morley and Jia, Ruoxi},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  year={2021}
}

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


The original license :
MIT License

Copyright (c) 2021 Yi Zeng

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
'''

import argparse
import logging
import os
import sys

sys.path = ["./"] + sys.path

from attack.badnet import BadNet, add_common_attack_args
from utils.aggregate_block.dataset_and_transform_generate import get_num_classes, get_input_shape


class LowFrequency(BadNet):

    def set_bd_args(cls, parser: argparse.ArgumentParser) -> argparse.ArgumentParser:
        parser = add_common_attack_args(parser)
        parser.add_argument('--lowFrequencyPatternPath', type=str)
        parser.add_argument('--bd_yaml_path', type=str, default='./config/attack/lf/default.yaml',
                            help='path for yaml file provide additional default attributes')
        return parser

    def process_args(self, args):
        args.terminal_info = sys.argv
        args.num_classes = get_num_classes(args.dataset)
        args.input_height, args.input_width, args.input_channel = get_input_shape(args.dataset)
        args.img_size = (args.input_height, args.input_width, args.input_channel)
        args.dataset_path = f"{args.dataset_path}/{args.dataset}"

        if ('lowFrequencyPatternPath' not in args.__dict__) or (args.lowFrequencyPatternPath is None):
            args.lowFrequencyPatternPath = f"./resource/lowFrequency/{args.dataset}_{args.model}_0_255.npy"
            logging.info(f"args.lowFrequencyPatternPath does not found, so = {args.lowFrequencyPatternPath}")

        return args


if __name__ == '__main__':
    attack = LowFrequency()
    parser = argparse.ArgumentParser(description=sys.argv[0])
    parser = attack.set_args(parser)
    parser = attack.set_bd_args(parser)
    args = parser.parse_args()
    attack.add_bd_yaml_to_args(args)
    attack.add_yaml_to_args(args)
    args = attack.process_args(args)
    attack.prepare(args)
    attack.stage1_non_training_data_prepare()
    attack.stage2_training()

'''
MIT License

Copyright (c) 2021 Yi Zeng

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
'''