Backdoor attacks against deep image compression via adaptive frequency trigger
Recent deep-learning-based compression methods have achieved superior performance compared with traditional approaches. However, deep learning models have proven to be vulnerable to backdoor attacks, where some specific trigger patterns added to the input can lead to malicious behavior of the models...
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Main Authors: | Yu, Yi, Wang, Yufei, Yang, Wenhan, Lu, Shijian, Tan, Yap Peng, Kot, Alex Chichung |
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其他作者: | Interdisciplinary Graduate School (IGS) |
格式: | Conference or Workshop Item |
語言: | English |
出版: |
2023
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主題: | |
在線閱讀: | https://hdl.handle.net/10356/168045 https://cvpr2023.thecvf.com/Conferences/2023 |
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