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JailbreakBench/jailbreakbench

An Open Robustness Benchmark for Jailbreaking Language Models

GraphCanon updated 2w · GitHub synced 2w · 26 views this month

645 stars75 forksLast push 1y Python MIT

Decision brief

JailbreakBench is an open robustness benchmark specifically designed to evaluate language models against jailbreaking attacks. It aims to quantify the resilience of language models under adversarial conditions.

Observed Jul 12, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Dormant (487d since push)
As of 2w
Provenance
Not a fork · Organization account
As of 2w
Security (OSV)
No lockfile
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install jailbreakbench
PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

JailbreakBench provides a benchmark to evaluate the robustness of language models against jailbreaking attacks.

Capability facts

Languages
python

Source: github.language+pyproject.toml · Aug 5, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Aug 5, 2026)

pip install jailbreakbench
Source link

Tags

README

Installation

The jailbreakbench package can be installed by running the following command:

pip install jailbreakbench

Optionally, if you plan to run an attack or defense locally, please install vLLM:

pip install jailbreakbench[vllm]

This repository can also be locally installed in an editable way by running the following command from the root directory of this repository:

pip install -e .

License

This codebase is released under MIT License.

For agents

This page has a .md twin and JSON over the API.

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