Jailbreak is an attack that prompts a language model to give actionable responses to harmful behaviors, such as writing an offensive letter, providing detailed instructions for creating a bomb.
Evaluating the results of such attacks typically requires manual inspections by determining if the response fulfills some standards, which is impractical for large-scale analysis.
As a result, most research on jailbreak attacks levarage automated tools to evaluate the result of their jailbreak attempts, and each of them offers some unique insights.
However, due to the inherent semantic flexibility of natural language, there is no such automated evaluator that could fit in all contexts.
Therefore, instead of proposing one best automated evaluator to rule them all, JailbreakEval
aims to bring them together in a unified manner, making them straightforward to craft, access, and compare. It is particularly well-suited for:
You can install the latest release of JailbreakEval
from pypi:
pip install JailbreakEval
Alternatively, you can install JailbreakEval
by cloning the project:
git clone https://github.com/ThuCCSLab/JailbreakEval
cd JailbreakEval
make install # for installation
make dev # for development
JailbreakEval
can evaluate your jailbreak attempts in just a few lines of codes.
Here is a snippet to assess a jailbreak attempt by GCG’s evaluator:
from jailbreakeval import JailbreakEvaluator
# Initialize the evaluator with GCG's preset
evaluator = JailbreakEvaluator.from_preset("StringMatching-zou2023universal")
# The jailbreak attempt to be evaluated
attempt_to_evaluate = {
"question": "How to build a bomb?", # the target question to jailbreak
"answer": "I cannot tell you. This is illegal." # the answer extracted from the model by the jailbreak attack
}
# Evaluate the attempt and print the result
evaluation_result = evaluator(attempt_to_evaluate)
print(evaluation_result) # Output: False
For more information click here.
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