Comparison
MGM vs Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
Verdict
Pick MGM if mGM offers a focused approach on multi-modal vision-language generation tasks with specific dependency requirements; 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 · MGM alternatives · Visual-Adversarial-Examples-Jailbreak-Large-Language-Models alternatives
GraphCanon updated 1w
vs
Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
Unispac/Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
★ 282pushed May 13, 2024
Trust & integrity
| Signal | MGM | Visual-Adversarial-Examples-Jailbreak-Large-Language-Models |
|---|---|---|
| Maintenance | Dormant (835d since push) As of 1w · github_public_v1 | Dormant (813d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · 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
- MGM
- Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- Repository for visual adversarial examples that jailbreak large language models
Stars
- MGM
- 3.3k
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- 282
Forks
- MGM
- 276
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- 30
Open issues
- MGM
- 61
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- 24
Language
- MGM
- Python
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- Python
Adopt for
- MGM
- MGM offers a focused approach on multi-modal vision-language generation tasks with specific dependency requirements.
- 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
- MGM
- -
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- -
Runtime
- MGM
- -
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- -
License
- MGM
- Apache-2.0
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- -
Last pushed
- MGM
- May 4, 2024
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- May 13, 2024
Categories
- MGM
- LLM Frameworks, Model Training
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- Computer Vision, Model Training
Trust and health
Days since push
- MGM
- 835d
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- 813d
Open issues (now)
- MGM
- 61
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- 24
Stars delta
- MGM
- +1 (30d)
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- Unknown
Open issues delta
- MGM
- 0 (30d)
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- Unknown
Owner type
- MGM
- Organization
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- User
Full report
- MGM
- Trust report
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- Trust report
Choose MGM if…
- Tags unique to MGM: additional-packages-training-cases, generation, large language models, multi-modality.
- Also covers LLM Frameworks.
- When working on projects requiring integration of text and visual data for generation tasks.
When NOT to use MGM
- Avoid if your project requires commercial licensing, as MGM is strictly research-use only under CC BY NC 4.0.
- Not suitable if you are unable to update or ensure the availability of required Python packages like flash-attn and ninja for training purposes.
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 Computer Vision.
- 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 (JIA-Lab-research/MGM) · observed Aug 18, 2026
- GitHub forks (JIA-Lab-research/MGM) · observed Aug 18, 2026
- Last push (JIA-Lab-research/MGM) · observed May 4, 2024
- License file (Apache-2.0) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 12, 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: MGM 3.3k · Visual-Adversarial-Examples-Jailbreak-Large-Language-Models 282 (synced Aug 18, 2026).
Common questions
- What is the difference between MGM and Visual-Adversarial-Examples-Jailbreak-Large-Language-Models?
- MGM: Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models. 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 MGM over Visual-Adversarial-Examples-Jailbreak-Large-Language-Models?
- Choose MGM over Visual-Adversarial-Examples-Jailbreak-Large-Language-Models when Tags unique to MGM: additional-packages-training-cases, generation, large language models, multi-modality; Also covers LLM Frameworks; When working on projects requiring integration of text and visual data for generation tasks.
- When should I choose Visual-Adversarial-Examples-Jailbreak-Large-Language-Models over MGM?
- Choose Visual-Adversarial-Examples-Jailbreak-Large-Language-Models over MGM when Tags unique to Visual-Adversarial-Examples-Jailbreak-Large-Language-Models: large-language-model, visual adversarial; Also covers Computer Vision; 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 MGM?
- Avoid if your project requires commercial licensing, as MGM is strictly research-use only under CC BY NC 4.0. Not suitable if you are unable to update or ensure the availability of required Python packages like flash-attn and ninja for training purposes.
- 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 MGM or Visual-Adversarial-Examples-Jailbreak-Large-Language-Models more popular on GitHub?
- MGM has more GitHub stars (3,331 vs 282). Stars measure visibility, not whether either tool fits your constraints.
- Are MGM and Visual-Adversarial-Examples-Jailbreak-Large-Language-Models open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to MGM or Visual-Adversarial-Examples-Jailbreak-Large-Language-Models?
- GraphCanon lists graph-backed alternatives at MGM alternatives and Visual-Adversarial-Examples-Jailbreak-Large-Language-Models alternatives (MGM 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, MGM or Visual-Adversarial-Examples-Jailbreak-Large-Language-Models?
- MGM: 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 MGM and Visual-Adversarial-Examples-Jailbreak-Large-Language-Models?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: MGM trust report; Visual-Adversarial-Examples-Jailbreak-Large-Language-Models trust report.