Comparison
llm-attacks vs AutoDefense
Verdict
Pick llm-attacks if llm-attacks: Universal and Transferable Attacks on Aligned Language Models with dependency on FastChat; pick AutoDefense if autoDefense uses a multi-agent framework to mitigate jailbreak attacks on LLMs, installed via Python.
Markdown twin · llm-attacks alternatives · AutoDefense alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | llm-attacks | AutoDefense |
|---|---|---|
| Maintenance | Dormant (732d since push) As of 2w · github_public_v1 | Slowing (201d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | Published findings 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
- llm-attacks
- Universal and Transferable Attacks on Aligned Language Models
- AutoDefense
- Multi-Agent LLM Defense against Jailbreak Attacks
Stars
- llm-attacks
- 4.8k
- AutoDefense
- 68
Forks
- llm-attacks
- 633
- AutoDefense
- 20
Open issues
- llm-attacks
- 69
- AutoDefense
- 1
Language
- llm-attacks
- Python
- AutoDefense
- Python
Adopt for
- llm-attacks
- llm-attacks: Universal and Transferable Attacks on Aligned Language Models with dependency on FastChat.
- AutoDefense
- AutoDefense uses a multi-agent framework to mitigate jailbreak attacks on LLMs, installed via Python.
Persona
- llm-attacks
- -
- AutoDefense
- -
Runtime
- llm-attacks
- -
- AutoDefense
- -
License
- llm-attacks
- MIT
- AutoDefense
- MIT
Last pushed
- llm-attacks
- Aug 2, 2024
- AutoDefense
- Jan 15, 2026
Categories
- llm-attacks
- Evaluation & Observability, LLM Frameworks
- AutoDefense
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- llm-attacks
- Dormant (18%)
- AutoDefense
- Slowing (36%)
Days since push
- llm-attacks
- 732d
- AutoDefense
- 201d
Open issues (now)
- llm-attacks
- 69
- AutoDefense
- 1
Owner type
- llm-attacks
- Organization
- AutoDefense
- User
OSV dependency advisories
- llm-attacks
- Published findings
- AutoDefense
- No lockfile (source not queried)
Full report
- llm-attacks
- Trust report
- AutoDefense
- Trust report
Shared compatibility
- Python · llm-attacks: Python runtime · AutoDefense: Python runtime
Choose llm-attacks if…
- Tags unique to llm-attacks: alignment-testing, attacks, fastchat-dependency, language-models.
- Also covers LLM Frameworks.
- When you need to test the robustness of aligned language models specifically using attacks designed for these systems,
When NOT to use llm-attacks
- Do not use if you are evaluating generic or unaligned language models without a need for alignment-specific attack testing,
- Avoid when FastChat is not used in your project as llm-attacks explicitly depends on it.
Choose AutoDefense if…
- Tags unique to AutoDefense: defense-mechanism, jailbreak prevention, large language models, llm-defense.
- Also covers AI Agents.
- Implementing robust defenses for enterprise-level AI projects with high-security requirements
When NOT to use AutoDefense
- Projects requiring light-weight solutions where multi-agent systems might introduce complexity overhead
- Environments without access to Python and its ecosystem, as AutoDefense depends on specific Python packages
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (llm-attacks/llm-attacks) · observed Aug 5, 2026
- GitHub forks (llm-attacks/llm-attacks) · observed Aug 5, 2026
- Last push (llm-attacks/llm-attacks) · observed Aug 2, 2024
- License file (MIT) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (XHMY/AutoDefense) · observed Aug 5, 2026
- GitHub forks (XHMY/AutoDefense) · observed Aug 5, 2026
- Last push (XHMY/AutoDefense) · observed Jan 15, 2026
- License file (MIT) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: llm-attacks 4.8k · AutoDefense 68 (synced Aug 5, 2026).
Common questions
- What is the difference between llm-attacks and AutoDefense?
- llm-attacks: Universal and Transferable Attacks on Aligned Language Models. AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks. See the comparison table for live GitHub stats and shared categories.
- When should I choose llm-attacks over AutoDefense?
- Choose llm-attacks over AutoDefense when Tags unique to llm-attacks: alignment-testing, attacks, fastchat-dependency, language-models; Also covers LLM Frameworks; When you need to test the robustness of aligned language models specifically using attacks designed for these systems,.
- When should I choose AutoDefense over llm-attacks?
- Choose AutoDefense over llm-attacks when Tags unique to AutoDefense: defense-mechanism, jailbreak prevention, large language models, llm-defense; Also covers AI Agents; Implementing robust defenses for enterprise-level AI projects with high-security requirements.
- When should I avoid llm-attacks?
- Do not use if you are evaluating generic or unaligned language models without a need for alignment-specific attack testing, Avoid when FastChat is not used in your project as llm-attacks explicitly depends on it.
- When should I avoid AutoDefense?
- Projects requiring light-weight solutions where multi-agent systems might introduce complexity overhead Environments without access to Python and its ecosystem, as AutoDefense depends on specific Python packages
- Is llm-attacks or AutoDefense more popular on GitHub?
- llm-attacks has more GitHub stars (4,756 vs 68). Stars measure visibility, not whether either tool fits your constraints.
- Are llm-attacks and AutoDefense open source?
- Yes - both are open-source projects on GitHub (llm-attacks: MIT, AutoDefense: MIT).
- Where can I find alternatives to llm-attacks or AutoDefense?
- GraphCanon lists graph-backed alternatives at llm-attacks alternatives and AutoDefense alternatives (llm-attacks markdown twin, AutoDefense 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, llm-attacks or AutoDefense?
- llm-attacks: Dormant. AutoDefense: Slowing. 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 llm-attacks and AutoDefense?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm-attacks trust report; AutoDefense trust report.