ranger 430d3138bd Add Moltbook injection dataset paper + update licence to CC BY-NC-SA 4.0
- 4-page research paper: Measuring AI-to-AI Prompt Injection in the Wild
- 137,014 items analysed, 10.07% injection rate, 7-category taxonomy
- Cross-platform injection gradient (0.5% - 18.85%)
- Licence updated from CC BY-SA to CC BY-NC-SA 4.0
- README updated with published resources links

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-20 20:02:38 +01:00

CyberRanger

Identity-Anchored Small Language Models: A Stateful Defense Architecture against Adversarial Jailbreaking on Edge Infrastructure.

Student: David Keane (x24228257) Programme: MSc in Cybersecurity, National College of Ireland Module: AI/ML in Cybersecurity (H9AIMLC) Date: 2026

Published Resources

Platform Link Description
Ollama davidkeane1974/cyberranger-v42 CyberRanger V42 model (ready to run)
HuggingFace DavidTKeane/cyberranger-v42 CyberRanger V42 model + training config
HuggingFace DavidTKeane/moltbook-ai-injection-dataset 4,209 real-world AI-to-AI injection payloads

Licence

CC BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike)

See LICENSE for full details.

(c) 2026 David Keane (x24228257), National College of Ireland

S
Description
© 2026 David Keane (x24228257), National College of Ireland
Readme 3 MiB
Languages
Python 68.1%
Jupyter Notebook 25.8%
Shell 6.1%