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JOOD

naver-ai/JOOD

Implementation for multimodal LLM jailbreaking strategy

GraphCanon updated 2w · GitHub synced 2w

21 stars4 forksLast push 1y Python Apache-2.0

Decision brief

JOOD is an implementation for exploring strategies to jailbreak language and multimodal models using out-of-distribution inputs. It leverages Python and is licensed under Apache-2.0.

Good fit when

  • Use JOOD when you need to explore how a multimodal model behaves with unforeseen or out-of-distribution inputs, thus pushing the boundaries of its conventional responses or outputs.
  • Consider JOOD if your objective aligns with understanding security vulnerabilities in large language models, particularly within domains that combine textual and visual data.

Avoid when

  • Avoid using JOOD if jailbreaking strategies are not of interest, such as in scenarios requiring strict adherence to model limitations and ethical constraints.
  • JOOD may not be suitable if you require tools that focus on improving performance or stability of models rather than exploring unconventional behavior or vulnerabilities.
Requirements:
Python version to install requirements: Python >= 3.12.7; The package list for dependencies should be sourced from the `requirements.txt` file provided in the repository.

Observed Jul 17, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Dormant (419d since push)
As of 2w
Provenance
Not a fork · Organization account
As of 2w
Security (OSV)
50 low (50 low)
As of 1mo

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

Install

pip install JOOD
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

JOOD is an implementation that explores the concept of jailbreaking language and multimodal language models using out-of-distribution strategies. It focuses on altering model behavior under unforeseen inputs.

Capability facts

Languages
python

Source: github.language · 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)

- Python >= 3.12.7
Source link

Tags

README

🛠️ Install

  • Python >= 3.12.7
  • Required libraries are listed in requirements.txt

License

JOOD
Copyright (c) 2025-present NAVER Cloud Corp.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

For agents

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

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