license: cc-by-4.0
language: [en, tr]
task_categories: [text-classification]
tags: [jailbreak, prompt-injection, llm-security, ai-security, red-teaming, turkish, security]
pretty_name: "Multilingual LLM Jailbreak Techniques"
size_categories: [n<1K]
configs: [{config_name: default, data_files: jailbreak.jsonl}]
Multilingual Jailbreak
from datasets import load_dataset
ds = load_dataset("fevziegeyurtsevenler/multilingual-jailbreak")
27 jailbreak & persona techniques (DAN, developer mode, role reassignment) in EN and TR, each with its defense.
Columns: technique, language, payload, target_behavior, owasp, defense, severity.
Schema
| column | meaning |
|---|---|
| technique | jailbreak technique |
| payload | example |
| defense | mitigation |
Related AltaySec resources
- 🕵️ uncloak — hidden prompt-injection scanner: GitHub · live demo
- 📚 Datasets: detection-rules · glossary · skills-in-the-wild · agent-skill-vulnerabilities
- 🌐 AltaySec · Açık Kaynak Lab
Citation
@misc{yurtsevenler2026multilingualjailbreak,
title = {Multilingual LLM Jailbreak Techniques},
author = {Yurtsevenler, Fevzi Ege},
year = {2026},
publisher = {AltaySec / Hugging Face},
howpublished = {\url{https://huggingface.co/datasets/fevziegeyurtsevenler/multilingual-jailbreak}}
}
⚠️ Defensive / authorized-use only. Multilingual-first LLM/agent security research by AltaySec.