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Jailbreak Evaluation Framework (JEF)

License

Full Documentation | 0din.ai

JEF is a CVSS-like scoring system for quantifying LLM jailbreak tactics. It provides a structured, repeatable framework for stack-ranking jailbreak methods based on their real-world efficacy and risk, scoring across three dimensions:

  • Model Impact Radius — How many models and vendors are affected
  • Retargetability — How flexibly the tactic applies across content categories
  • Output Fidelity — How accurate and detailed the resulting outputs are

Installation

pip install 0din-jef

Quick Start

from jef import tiananmen, meth, nerve_agent, harry_potter

# Score against standardized benchmarks (0-100)
result = tiananmen.score("LLM response text")
result = meth.score("LLM response text")
result = nerve_agent.score("LLM response text")
result = harry_potter.score("LLM output", "reference text")

# Compute composite JEF score (0-10)
from jef import calculator
jef_score = calculator(num_vendors=3, num_models=7, num_subjects=2, scores=[80, 75])

Documentation

For the full framework methodology, scoring algorithm, complete usage guide, and API reference, visit the JEF Documentation.

Resources

Releases

Releases are managed through GitHub Releases and automatically published to PyPI.

Metadata

Release files for 0din-jef 0.8.3

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