ebagdasa / backdoors101

Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

Date Created 2019-08-09 (5 years ago)

Commits 430 (last one about a year ago)

Stargazers 336 (0 this week)

Watchers 7 (0 this week)

Forks 82

License mit

Ranking

RepositoryStats indexes 585,332 repositories, of these ebagdasa/backdoors101 is ranked #122,161 (79th percentile) for total stargazers, and #269,438 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #20,760/116,570.

ebagdasa/backdoors101 is also tagged with popular topics, for these it's ranked: machine-learning (#2,532/7939), pytorch (#1,784/5954), security (#1,563/4027), research (#141/499), federated-learning (#39/202)

Other Information

ebagdasa/backdoors101 has Github issues enabled, there are 2 open issues and 22 closed issues.

There have been 1 release, the latest one was published on 2021-05-06 (3 years ago)

All Topics

pytorch research security backdoors adversarial ml-backdoors neural-trojan backdoor-attacks machine-learning federated-learning deep-learning-security deep-learning-backdoors adversarial-machine-learning

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3 commits on the default branch (master) since jan '22

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The primary language is Python but there's also others...

updated: 2024-11-21 @ 06:15pm, id: 201517315 / R_kgDODALpAw