# locuslab/convex\_adversarial

<https://repo.masters-masters.com/en/repos/locuslab/convex_adversarial>

[Home](https://repo.masters-masters.com/en) › [locuslab](https://repo.masters-masters.com/en/owners/locuslab) › [convex\_adversarial](https://repo.masters-masters.com/en/repos/locuslab/convex_adversarial)

locuslab/convex\_adversarial has 392 stars on GitHub. Its RepoMasters card: Alpha tier. A method for training neural networks that are provably robust to…

| Field | Value |
| --- | --- |
| Owner | [locuslab](https://repo.masters-masters.com/en/owners/locuslab) |
| Stars | 392 |
| Forks | 84 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2017 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [locuslab/convex\_adversarial](https://github.com/locuslab/convex_adversarial) |

## Repository

A method for training neural networks that are provably robust to adversarial attacks.

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.