# ebagdasa/backdoor\_federated\_learning

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

[Home](https://repo.masters-masters.com/en) › [ebagdasa](https://repo.masters-masters.com/en/owners/ebagdasa) › [backdoor\_federated\_learning](https://repo.masters-masters.com/en/repos/ebagdasa/backdoor_federated_learning)

ebagdasa/backdoor\_federated\_learning has 316 stars on GitHub. Its RepoMasters card: Alpha tier. Source code for paper "How to Backdoor Federated Learning"…

| Field | Value |
| --- | --- |
| Owner | [ebagdasa](https://repo.masters-masters.com/en/owners/ebagdasa) |
| Stars | 316 |
| Forks | 63 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [ebagdasa/backdoor\_federated\_learning](https://github.com/ebagdasa/backdoor_federated_learning) |

## Repository

Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)

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

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