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 2 years ago)

Stargazers 357 (3 this week)

Watchers 8 (0 this week)

Forks 81

License mit

Ranking

RepositoryStats indexes 624,393 repositories, of these ebagdasa/backdoors101 is ranked #121,512 (81st percentile) for total stargazers, and #236,499 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #20,970/126,871.

ebagdasa/backdoors101 is also tagged with popular topics, for these it's ranked: machine-learning (#2,530/8333), pytorch (#1,775/6182), security (#1,561/4189), research (#149/545), federated-learning (#39/220)

Other Information

ebagdasa/backdoors101 has Github issues enabled, there are 3 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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Recent Commit History

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: 2025-03-07 @ 07:22pm, id: 201517315 / R_kgDODALpAw