chris-hzc/ProTransformer
[NeurIPS 2024] ProTransformer: Robustify Transformers via Plug-and-Play Paradigm. A 4-line robust attention layer that plugs into any pretrained transformer (BERT, ViT, LLaMA, Vicuna, T5, GAT) without retraining.
ORIGINAL REPOSITORY
chris-hzc/ProTransformer ↗GitHub activity
- Stars
- 9
- Forks
- 0
- Open issues and PRs
- 1
- Repository size
- ~11,536 KB
- Default branch
- main
- Created
- Oct 27, 2024
- Repository updated
- Oct 11, 2026
- Last push
- Oct 6, 2026
- Language
- Python
- License
- Apache-2.0
Topics adversarial-robustness · attention-mechanism · jailbreak · llm · neurips-2024 · plug-and-play · transformers
Repository-wide figures from GitHub, checked Nov 6, 2026. Stars are endorsements, not a Mega AI Hub quality rating. Repository size is GitHub’s estimate; a ZIP download may differ.
Resource information
- Original repository
- chris-hzc/ProTransformer
- Credit basis
- GitHub repository owner or organization; individual authorship is not asserted
- Publisher
- chris-hzc
- Upstream last modified
- Oct 11, 2026
- Official website
- https://github.com/chris-hzc/ProTransformer
- Languages
- Python
- Access
- Open original GitHub repository; publisher terms apply
- Last checked
- Nov 6, 2026
- License
- Apache-2.0
- Last record update
- Nov 6, 2026