leolee99/NotInject
InjecGuard: Benchmarking and Mitigating Over-defense in Prompt Injection Guardrail Models Website, Paper, Code, Demo Dataset Description The NotInject is a benchmark designed to evaluate the extent of over-defense in existing prompt guard models against prompt injection. All samples in the dataset are benign but contain trigger words that may be mistakenly flagged as risky. The dataset is divided into three subsets, each consisting of prompts generated using… See the full description on the dataset page: https://huggingface.co/datasets/leolee99/NotInject.
| Author / organization | leolee99 |
|---|---|
| License (as declared) | mit |
| Downloads | 2.7K (as reported by Hugging Face) |
| Likes | 8 |
| Created | 26 October 2024 |
| Last updated at source | 4 April 2025 |
Popularity, last 5 days
2,689 now (+148 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: InjecGuard: Benchmarking and Mitigating Over-defense in Prompt Injection Guardrail Models Website, Paper, Code, Demo Dataset Description The NotInject is a benchmark designed to evaluate the extent of over-defense in existing prompt guard m → InjecGuard: Benchmarking and Mitigating Over-defense in Prompt Injection Guardrail Models Website, Paper, Code, Demo Dataset Description The NotInject is a benchmark designed to evaluate the extent of over-defense in existing prompt guard m
Changes detected by Silytics between refreshes of the source.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 20 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.