Enhancing robustness of backdoor attacks against backdoor defenses

With the emergence of advanced backdoor defense methods, the success rate of backdoor attacks in Deep Neural Networks (DNNs) has dramatically decreased. This situation may lead to overconfidence in existing backdoor defense methods. In view of this, we propose an adversarial distillation strategy co...

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Bibliographic Details

Main Authors:	Bin Hu, Kehua Guo, Sheng Ren, Hui Fang
Format:	Default Article
Published:	2025
Subjects:	Engineering Information and computing sciences Mathematical sciences Artificial Intelligence & Image Processing Backdoor attacks Adversarial distillation Deep neural networks Backdoor defense
Online Access:	https://hdl.handle.net/2134/28513907.v1
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