# ebagdasa/backdoors101

<https://repo.masters-masters.com/en/repos/ebagdasa/backdoors101>

[Home](https://repo.masters-masters.com/en) › [ebagdasa](https://repo.masters-masters.com/en/owners/ebagdasa) › [backdoors101](https://repo.masters-masters.com/en/repos/ebagdasa/backdoors101)

ebagdasa/backdoors101 has 386 stars on GitHub. Its RepoMasters card: Alpha tier. Backdoors Framework for Deep Learning and Federated Learning. A light-weight…

| Field | Value |
| --- | --- |
| Owner | [ebagdasa](https://repo.masters-masters.com/en/owners/ebagdasa) |
| Stars | 386 |
| Forks | 82 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | backdoors, machine-learning, research, security, pytorch, adversarial-machine-learning, adversarial, deep-learning-security, neural-trojan, ml-backdoors |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [ebagdasa/backdoors101](https://github.com/ebagdasa/backdoors101) |

## Repository

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

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
