Dataset · Hugging Face

volkthienpreecha/crackedpdfs

Name: crackedpdfs
Creator: volkthienpreecha
License: mit
Keywords: task_categories:text-classification, task_categories:feature-extraction, language:en, license:mit, size_categories:10K<n<100K, arxiv:2607.19396, region:us, llm-security, prompt-injection, pdf-security, benchmark

CrackedPDFs CrackedPDFs is a paired benchmark for detecting prompt injections embedded in PDF structure. The paper release contains 29,322 PDFs derived from 4,983 base documents, organized as 9,774 matched triplets: one benign original; one benign structural confounder; and one injected PDF. The benign source documents were produced with PDFAutoGen. The paired design measures whether a defense detects malicious intent rather than merely reacting to unusual PDF structure.… See the full description on the dataset page: https://huggingface.co/datasets/volkthienpreecha/crackedpdfs.

View on Hugging FaceReport an issue

Author / organization	volkthienpreecha
License (as declared)	mit
Downloads	356 (as reported by Hugging Face)
Likes	3
Created	1 August 2026
Last updated at source	1 August 2026

llm-securityprompt-injectionpdf-securitybenchmark

Embed this entry

<iframe src="https://silytics.si/embed/item/f53f82b9-a71e-4a38-853f-c38ed70b5bec" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.