xTRam1/safe-guard-prompt-injection
We formulated the prompt injection detector problem as a classification problem and trained our own language model to detect whether a given user prompt is an attack or safe. First, to train our own prompt injection detector, we required high-quality labelled data; however, existing prompt injection datasets were either too small (on the magnitude of O(100)) or didn’t cover a broad spectrum of prompt injection attacks. To this end, inspired by the GLAN paper, we created a custom synthetic… See the full description on the dataset page: https://huggingface.co/datasets/xTRam1/safe-guard-prompt-in
| Author / organization | xTRam1 |
|---|---|
| Downloads | 4K (as reported by Hugging Face) |
| Likes | 37 |
| Created | 23 June 2024 |
| Last updated at source | 27 June 2024 |
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Connected in the knowledge graph
- codeintegrity-ai/promptguardModel · used to train
- mradermacher/monitor-qwen35-2b-GGUFModel · used to train
- mradermacher/prompt-guard-1.5b-GGUFModel · used to train
- mradermacher/PromptGuard-GGUFModel · used to train
- marklkelly/bert-tiny-injection-detectorModel · used to train
- prismor/prompt-guard-1.5bModel · used to train
- mradermacher/monitor-qwen35-08b-GGUFModel · used to train
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