BentoUniAcc/PDF_Injection_Synthetic_Dataset
# PDF Prompt Injection Detector — Dataset Course: Introduction to Data Science, 2026 Problem Statement Large Language Models are increasingly used to process PDFs — summarizing contracts, extracting data, answering questions. Attackers exploit this by hiding malicious instructions inside PDFs using techniques that are invisible to human readers but fully visible to the LLM parser receiving the extracted text. This dataset was built to study, detect, and explain these prompt… See the full description on the dataset page: https://huggingface.co/datasets/BentoUniAcc/PDF_Injection_Synthetic_Datase
| Author / organization | BentoUniAcc |
|---|---|
| Downloads | 280 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 20 June 2026 |
| Last updated at source | 20 June 2026 |
Popularity, last 2 days
280 now (-11 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.