Comparison
image-hijacks vs Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
Verdict
Pick image-hijacks if image Hijacks is an advanced adversarial AI tool for generating images that can control the output of generative models at runtime; pick Visual-Adversarial-Examples-Jailbreak-Large-Language-Models if this tool focuses on generating and studying visual adversarial examples designed to exploit vulnerabilities in large language models such as MiniGPT-4.
Markdown twin · image-hijacks alternatives · Visual-Adversarial-Examples-Jailbreak-Large-Language-Models alternatives
GraphCanon updated 2w
Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
Unispac/Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
Trust & integrity
| Signal | image-hijacks | Visual-Adversarial-Examples-Jailbreak-Large-Language-Models |
|---|---|---|
| Maintenance | Dormant (1050d since push) As of 2w · github_public_v1 | Dormant (813d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- image-hijacks
- Adversarial Images Control Generative Models at Runtime
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- Repository for visual adversarial examples that jailbreak large language models
Stars
- image-hijacks
- 57
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- 282
Forks
- image-hijacks
- 13
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- 30
Open issues
- image-hijacks
- 8
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- 24
Language
- image-hijacks
- Python
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- Python
Adopt for
- image-hijacks
- Image Hijacks is an advanced adversarial AI tool for generating images that can control the output of generative models at runtime.
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- This tool focuses on generating and studying visual adversarial examples designed to exploit vulnerabilities in large language models such as MiniGPT-4.
Persona
- image-hijacks
- -
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- -
Runtime
- image-hijacks
- -
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- -
License
- image-hijacks
- MIT
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- -
Last pushed
- image-hijacks
- Sep 19, 2023
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- May 13, 2024
Categories
- image-hijacks
- Computer Vision
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- Computer Vision, Model Training
Trust and health
Days since push
- image-hijacks
- 1050d
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- 813d
Open issues (now)
- image-hijacks
- 8
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- 24
Full report
- image-hijacks
- Trust report
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- Trust report
Choose image-hijacks if…
- 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..
- Tags unique to image-hijacks: adversarial, generative, image manipulation, runtime control.
- When you need to create specific adversarial scenarios where fine-tuned images manipulate generative model outputs during real-time operation.
When NOT to use image-hijacks
- 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.
Choose Visual-Adversarial-Examples-Jailbreak-Large-Language-Models if…
- Tags unique to Visual-Adversarial-Examples-Jailbreak-Large-Language-Models: large-language-model, visual adversarial.
- Also covers Model Training.
- If your goal is to research the resilience of Large Language Models against visual inputs that could mislead or 'jailbreak' their usual behavior.
When NOT to use Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- Avoid using this tool if your objective does not involve security testing or research concerning visual-linguistic interactions with large language models.
- If you are looking to enhance general-purpose AI applications without considering adversarial attacks, other frameworks would be more appropriate.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (euanong/image-hijacks) · observed Aug 5, 2026
- GitHub forks (euanong/image-hijacks) · observed Aug 5, 2026
- Last push (euanong/image-hijacks) · observed Sep 19, 2023
- License file (MIT) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Unispac/Visual-Adversarial-Examples-Jailbreak-Large-Language-Models) · observed Aug 5, 2026
- GitHub forks (Unispac/Visual-Adversarial-Examples-Jailbreak-Large-Language-Models) · observed Aug 5, 2026
- Last push (Unispac/Visual-Adversarial-Examples-Jailbreak-Large-Language-Models) · observed May 13, 2024
- License file (unknown) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: image-hijacks 57 · Visual-Adversarial-Examples-Jailbreak-Large-Language-Models 282 (synced Aug 5, 2026).
Common questions
- What is the difference between image-hijacks and Visual-Adversarial-Examples-Jailbreak-Large-Language-Models?
- image-hijacks: Adversarial Images Control Generative Models at Runtime. Visual-Adversarial-Examples-Jailbreak-Large-Language-Models: Repository for visual adversarial examples that jailbreak large language models. See the comparison table for live GitHub stats and shared categories.
- When should I choose image-hijacks over Visual-Adversarial-Examples-Jailbreak-Large-Language-Models?
- Choose image-hijacks over Visual-Adversarial-Examples-Jailbreak-Large-Language-Models when Requirements: Min 8 GB RAM; System-specific adjustments might be required, such as setting the
PYTHON_KEYRING_BACKEND=keyring.backends.null.Keyringenvironment variable.; Large files like cached models or data are stored in thedata/directory. Ensure this directory is appropriately configured for storage.; Tags unique to image-hijacks: adversarial, generative, image manipulation, runtime control; When you need to create specific adversarial scenarios where fine-tuned images manipulate generative model outputs during real-time operation. - When should I choose Visual-Adversarial-Examples-Jailbreak-Large-Language-Models over image-hijacks?
- Choose Visual-Adversarial-Examples-Jailbreak-Large-Language-Models over image-hijacks when Tags unique to Visual-Adversarial-Examples-Jailbreak-Large-Language-Models: large-language-model, visual adversarial; Also covers Model Training; If your goal is to research the resilience of Large Language Models against visual inputs that could mislead or 'jailbreak' their usual behavior.
- When should I avoid image-hijacks?
- 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.
- When should I avoid Visual-Adversarial-Examples-Jailbreak-Large-Language-Models?
- Avoid using this tool if your objective does not involve security testing or research concerning visual-linguistic interactions with large language models. If you are looking to enhance general-purpose AI applications without considering adversarial attacks, other frameworks would be more appropriate.
- Is image-hijacks or Visual-Adversarial-Examples-Jailbreak-Large-Language-Models more popular on GitHub?
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models has more GitHub stars (282 vs 57). Stars measure visibility, not whether either tool fits your constraints.
- Are image-hijacks and Visual-Adversarial-Examples-Jailbreak-Large-Language-Models open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to image-hijacks or Visual-Adversarial-Examples-Jailbreak-Large-Language-Models?
- GraphCanon lists graph-backed alternatives at image-hijacks alternatives and Visual-Adversarial-Examples-Jailbreak-Large-Language-Models alternatives (image-hijacks markdown twin, Visual-Adversarial-Examples-Jailbreak-Large-Language-Models markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, image-hijacks or Visual-Adversarial-Examples-Jailbreak-Large-Language-Models?
- image-hijacks: Dormant. Visual-Adversarial-Examples-Jailbreak-Large-Language-Models: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for image-hijacks and Visual-Adversarial-Examples-Jailbreak-Large-Language-Models?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: image-hijacks trust report; Visual-Adversarial-Examples-Jailbreak-Large-Language-Models trust report.