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View Code? Open in Web Editor NEWA curated list of papers & resources on backdoor attacks and defenses in deep learning.
License: GNU General Public License v3.0
A curated list of papers & resources on backdoor attacks and defenses in deep learning.
License: GNU General Public License v3.0
I found that the first two survey papers:
2023 | arXiv | Adversarial Machine Learning: A Systematic Survey of Backdoor Attack, Weight Attack and Adversarial Example
2022 | TPAMI | Data Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
share the same link https://arxiv.org/pdf/2012.10544.pdf pointing to the 2022 TPAMI paper (the second one).
The correct link to the first paper is https://arxiv.org/pdf/2302.09457.pdf
Please fix it.
Thanks
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