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

License: Apache License 2.0

Python 100.00%
paper backdoor-attacks trigger i3d

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video-backdoor-attack's Issues

about "/traintestlist/xxxxxx.txt"

hi! thank you for your open source code.
Could you please provide the code to generate "/traintestlist/xxxxxx.txt" base on my own dataset-path?
P.S.
enhance_trigger.txt
generate_trigger.txt
test_bad_model.txt
test_clean_model.txt
train_bad_model_eps8_port30_ts24.txt
train_clean_model.txt

DATASET ERROR!

Hello, thanks for your excellent work. But you haven't release the all code of data preparation(train_bad_model_eps8_port30_ts24.txt). I used the generate_trigger.py to generate some poison examples but I found that they were not used. I hope you can check your code again and tell us how to use the open-source code. Sorry, I just think your work focuses on replacing the black-white block by random noise. Can you explain your strength or novelty?

關於closs issue 的附件

作者您好,謝謝您提供這個code,請問您能分享那個closs issue的附件嗎?,還是說您能分享你的pretrain model嗎?

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