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saif-revelio-paper
hayulalab/saif-revelio-paper
saif-revelio-paper is a machine learning model from hayulalab. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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Updated Jul 8, 2026
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- License
- mit
- Access
- Public
- Created
- Jul 8, 2026
- Updated
- Jul 8, 2026
- SHA
- bb59a81e
Model card
From the Hugging Face model README
Hayula Research Paper — Hayula Research
Hayula AI Lab
Abstract
Automated vulnerability discovery has long been plagued by high false-positive rates, prohibitive cloud API costs, and the fundamental hallucination problem inherent in language model outputs. The recently proposed Revelio framework (arXiv:2606.22263) addresses these limitations through an agentic architecture that generates executable Proofs-of-Vulnerability (PoVs) verified by sanitizers such as AddressSanitizer and UndefinedBehaviorSanitizer, achieving 19 real vulnerabilities across 7 producti
Files
| File | Description |
|---|---|
paper.md | Full paper (Markdown) |
README.md | This model card |
Citation
@techreport{hayulalab2026saifrevelio,
title={Hayula Research Paper — Hayula Research},
author={Hayula AI Lab},
year={2026},
url={https://huggingface.co/hayulalab/saif-revelio-paper}
}
hayulalab — Open Source AI Research
- License
- mit
- Created
- Jul 8, 2026
- Updated
- Jul 8, 2026