Home/Compare/multilingual-safety-for-LLMs vs Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
Comparison
multilingual-safety-for-LLMs vs Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
Verdict
Pick multilingual-safety-for-LLMs if data for studying multilingual jailbreak safety in LLMs, including nine non-English languages categorized by resource availability; 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 · multilingual-safety-for-LLMs alternatives · Visual-Adversarial-Examples-Jailbreak-Large-Language-Models alternatives
GraphCanon updated Oct 5, 2026
9views this month
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Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
Unispac/Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
★ 283pushed May 13, 2024
Trust & integrity
| Signal | multilingual-safety-for-LLMs | Visual-Adversarial-Examples-Jailbreak-Large-Language-Models |
|---|---|---|
| Maintenance | Dormant (941d since push) As of Oct 5, 2026 · github_public_v1 | Dormant (874d since push) As of Oct 4, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Oct 5, 2026 · github_public_v1 | Not a fork · Personal account As of Oct 4, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- multilingual-safety-for-LLMs
- Data for Multilingual Jailbreak Challenges in Large Language Models
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- Repository for visual adversarial examples that jailbreak large language models
Stars
- multilingual-safety-for-LLMs
- 107
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- 283
Forks
- multilingual-safety-for-LLMs
- 8
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- 30
Open issues
- multilingual-safety-for-LLMs
- 0
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- 24
Language
- multilingual-safety-for-LLMs
- -
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- Python
Adopt for
- multilingual-safety-for-LLMs
- Data for studying multilingual jailbreak safety in LLMs, including nine non-English languages categorized by resource availability.
- 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
- multilingual-safety-for-LLMs
- -
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- -
Runtime
- multilingual-safety-for-LLMs
- -
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- -
License
- multilingual-safety-for-LLMs
- MIT
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- -
Last pushed
- multilingual-safety-for-LLMs
- Mar 7, 2024
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- May 13, 2024
Categories
- multilingual-safety-for-LLMs
- Evaluation & Observability, Model Training
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- Computer Vision, Model Training
Trust and health
Days since push
- multilingual-safety-for-LLMs
- 941d
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- 874d
Open issues (now)
- multilingual-safety-for-LLMs
- 0
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- 24
Stars delta
- multilingual-safety-for-LLMs
- -1 (30d)
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- +1 (30d)
Owner type
- multilingual-safety-for-LLMs
- Organization
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- User
Full report
- multilingual-safety-for-LLMs
- Trust report
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models
- Trust report
Choose multilingual-safety-for-LLMs if…
- Tags unique to multilingual-safety-for-LLMs: jailbreak, llm, multilingual, safety.
- Also covers Evaluation & Observability.
- When evaluating the robustness of large language models against malicious prompts in multiple languages.
When NOT to use multilingual-safety-for-LLMs
- If solely focused on English-language security analysis, as this dataset emphasizes non-English prompts.
- When the target audience for your LLM is limited to high-resource language speakers only.
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 (DAMO-NLP-SG/multilingual-safety-for-LLMs) · observed Oct 5, 2026
- GitHub forks (DAMO-NLP-SG/multilingual-safety-for-LLMs) · observed Oct 5, 2026
- Last push (DAMO-NLP-SG/multilingual-safety-for-LLMs) · observed Mar 7, 2024
- License file (MIT) · observed Oct 5, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Unispac/Visual-Adversarial-Examples-Jailbreak-Large-Language-Models) · observed Oct 4, 2026
- GitHub forks (Unispac/Visual-Adversarial-Examples-Jailbreak-Large-Language-Models) · observed Oct 4, 2026
- Last push (Unispac/Visual-Adversarial-Examples-Jailbreak-Large-Language-Models) · observed May 13, 2024
- License file (unknown) · observed Oct 4, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: multilingual-safety-for-LLMs 107 · Visual-Adversarial-Examples-Jailbreak-Large-Language-Models 283 (synced Oct 5, 2026).
Common questions
- What is the difference between multilingual-safety-for-LLMs and Visual-Adversarial-Examples-Jailbreak-Large-Language-Models?
- multilingual-safety-for-LLMs: Data for Multilingual Jailbreak Challenges in Large 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 multilingual-safety-for-LLMs over Visual-Adversarial-Examples-Jailbreak-Large-Language-Models?
- Choose multilingual-safety-for-LLMs over Visual-Adversarial-Examples-Jailbreak-Large-Language-Models when Tags unique to multilingual-safety-for-LLMs: jailbreak, llm, multilingual, safety; Also covers Evaluation & Observability; When evaluating the robustness of large language models against malicious prompts in multiple languages.
- When should I choose Visual-Adversarial-Examples-Jailbreak-Large-Language-Models over multilingual-safety-for-LLMs?
- Choose Visual-Adversarial-Examples-Jailbreak-Large-Language-Models over multilingual-safety-for-LLMs 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 multilingual-safety-for-LLMs?
- If solely focused on English-language security analysis, as this dataset emphasizes non-English prompts. When the target audience for your LLM is limited to high-resource language speakers only.
- 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 multilingual-safety-for-LLMs or Visual-Adversarial-Examples-Jailbreak-Large-Language-Models more popular on GitHub?
- Visual-Adversarial-Examples-Jailbreak-Large-Language-Models has more GitHub stars (283 vs 107). Stars measure visibility, not whether either tool fits your constraints.
- Are multilingual-safety-for-LLMs and Visual-Adversarial-Examples-Jailbreak-Large-Language-Models open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to multilingual-safety-for-LLMs or Visual-Adversarial-Examples-Jailbreak-Large-Language-Models?
- GraphCanon lists graph-backed alternatives at multilingual-safety-for-LLMs alternatives and Visual-Adversarial-Examples-Jailbreak-Large-Language-Models alternatives (multilingual-safety-for-LLMs 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, multilingual-safety-for-LLMs or Visual-Adversarial-Examples-Jailbreak-Large-Language-Models?
- multilingual-safety-for-LLMs: 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 multilingual-safety-for-LLMs and Visual-Adversarial-Examples-Jailbreak-Large-Language-Models?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: multilingual-safety-for-LLMs trust report; Visual-Adversarial-Examples-Jailbreak-Large-Language-Models trust report.