Invisible Backdoor Attacks on Key Regions Based on Target Neurons in Self-Supervised Learning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5498-4_10
Reference21 articles.
1. Chen, B., et al.: Detecting backdoor attacks on deep neural networks by activation clustering. arXiv preprint arXiv:1811.03728 (2018)
2. Chen, K., Hong, L., Xu, H., Li, Z., Yeung, D.Y.: Multisiam: self-supervised multi-instance siamese representation learning for autonomous driving. In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 7546–7554 (2021)
3. Chen, X., He, K.: Exploring simple siamese representation learning. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 15750–15758 (2021)
4. Chen, Y., et al.: Image super-resolution reconstruction based on feature map attention mechanism. Appl. Intell. 51, 4367–4380 (2021)
5. Chou, S.Y., Chen, P.Y., Ho, T.Y.: How to backdoor diffusion models? In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 4015–4024 (2023)
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