# NeoSunJZ/Canary\_Master

<https://repo.masters-masters.com/en/repos/NeoSunJZ/Canary_Master>

[Home](https://repo.masters-masters.com/en) › [NeoSunJZ](https://repo.masters-masters.com/en/owners/NeoSunJZ) › [Canary\_Master](https://repo.masters-masters.com/en/repos/NeoSunJZ/Canary_Master)

NeoSunJZ/Canary\_Master has 118 stars on GitHub. Its RepoMasters card: Prototype tier. CanarySEFI is a framework for evaluating the robustness of deep…

| Field | Value |
| --- | --- |
| Owner | [NeoSunJZ](https://repo.masters-masters.com/en/owners/NeoSunJZ) |
| Stars | 118 |
| Forks | 10 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2022 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [NeoSunJZ/Canary\_Master](https://github.com/NeoSunJZ/Canary_Master) |

## Repository

CanarySEFI is a framework for evaluating the robustness of deep learning-based image recognition models. It can evaluate model robustness and attack/defense algorithm effectiveness, encompassing 26 metrics, including 15 models pre-trained by CIFAR-10, CIFAR-100, Fashion-MNIST, and ImageNet (with we…

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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