GraphCanon updated Oct 4, 2026 · GitHub synced Oct 4, 2026
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Decision brief
Image Hijacks is an advanced adversarial AI tool for generating images that can control the output of generative models at runtime.
Good fit when
- When you need to create specific adversarial scenarios where fine-tuned images manipulate generative model outputs during real-time operation.
- If your research or development requires testing the robustness of image generation algorithms against adversarial attacks with real-time impact.
Avoid when
- Avoid using Image Hijacks for standard machine learning tasks that do not involve runtime manipulation of AI-generated images through adversarial means.
- Do not use this tool if you are working within a constrained or sensitive environment where introducing adversarial elements poses an additional risk to system security.
- Requirements:
- Min 8 GB RAM; System-specific adjustments might be required, such as setting the `PYTHON_KEYRING_BACKEND=keyring.backends.null.Keyring` environment variable.; Large files like cached models or data are stored in the `data/` directory. Ensure this directory is appropriately configured for storage.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (1110d since push)
- As of Oct 4, 2026
- Provenance
- Not a fork · Personal account
- As of Oct 4, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install image-hijacksSimilar 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
The euanong/image-hijacks project comprises official code for creating adversarial images that can hijack or manipulate the output of generative models during runtime, using configurations and training processes tailored to specific adversarial scenarios involving AI image generation.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Oct 4, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Oct 4, 2026)
to run jailbreak experiments (configurations coming soon), you must store your OpenAI API key in the `OPENAI_API_KEY` environment variable.Source link
Source: README excerpt (regex_v1, Oct 4, 2026)
The code can be run under any environment with Python 3.9 and above.Source link
Tags
README
Image Hijacks: Adversarial Images can Control Generative Models at Runtime This is the code for Image Hijacks: Adversarial Images can Control Generative Models at Runtime . Project page and demo Paper Setup The code can be run under any environment with Python 3.9 and above. We u...
For agents
This page has a .md twin and JSON over the API.