# bboylyg/NAD

<https://repo.masters-masters.com/en/repos/bboylyg/NAD>

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

bboylyg/NAD has 129 stars on GitHub. Its RepoMasters card: Prototype tier. This is an implementation demo of the ICLR 2021 paper \[Neural Attention…

| Field | Value |
| --- | --- |
| Owner | [bboylyg](https://repo.masters-masters.com/en/owners/bboylyg) |
| Stars | 129 |
| Forks | 13 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2021 |
| Topics | backdoor-attacks, deep-neural-networks, erasing-backdoor-triggers, pytorch, backdoor-defense |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [bboylyg/NAD](https://github.com/bboylyg/NAD) |

## Repository

This is an implementation demo of the ICLR 2021 paper \[Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks\](https://openreview.net/pdf?id=9l0K4OM-oXE) in PyTorch.

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

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