reds-lab / Narcissus

The official implementation of the CCS'23 paper, Narcissus clean-label backdoor attack -- only takes THREE images to poison a face recognition dataset in a clean-label way and achieves a 99.89% attack success rate.

reds-lab
reds-lab
Date Created 2022-04-08 (2 years ago)
Commits 59 (last one about a year ago)
Stargazers 109 (1 this week)
Watchers 2 (0 this week)
Forks 13
License mit
Ranking

RepositoryStats indexes 624,393 repositories, of these reds-lab/Narcissus is ranked #286,991 (54th percentile) for total stargazers, and #477,492 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #53,868/126,871.

reds-lab/Narcissus is also tagged with popular topics, for these it's ranked: adversarial-attacks (#54/139)

Other Information

reds-lab/Narcissus has Github issues enabled, there are 6 open issues and 4 closed issues.

Homepage URL: https://arxiv.org/pdf/2204.05255.pdf

Star History

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Recent Commit History

59 commits on the default branch (main) since jan '22

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Issue History

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updated: 2025-03-06 @ 05:58am, id: 479534670 / R_kgDOHJUeTg