Efficient Method for Robust Backdoor Detection and Removal in Feature Space Using Clean Data
The steady increase of proposed backdoor attacks on deep neural networks highlights the need for robust defense methods for their detection and removal. A backdoor attack is a type of attack where hidden triggers are added to the input data during training, with the goal of changing the behavior of...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10845767/ |
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