Comparison
awesome-llm-security vs baseline-defenses
Verdict
Pick awesome-llm-security if awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and; pick baseline-defenses if a toolkit for evaluating defenses against adversarial attacks on aligned language models, focusing on perplexity filter and paraphrase defense strategies.
Markdown twin · awesome-llm-security alternatives · baseline-defenses alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | awesome-llm-security | baseline-defenses |
|---|---|---|
| Maintenance | Slowing (351d since push) As of 2w · github_public_v1 | Dormant (1013d 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 | 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
- awesome-llm-security
- A curation of tools, documents and projects about LLM Security
- baseline-defenses
- Research code for evaluating defenses against adversarial attacks on aligned language models
Stars
- awesome-llm-security
- 1.7k
- baseline-defenses
- 34
Forks
- awesome-llm-security
- 312
- baseline-defenses
- 1
Open issues
- awesome-llm-security
- 173
- baseline-defenses
- 0
Language
- awesome-llm-security
- -
- baseline-defenses
- Python
Adopt for
- awesome-llm-security
- Awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and
- baseline-defenses
- A toolkit for evaluating defenses against adversarial attacks on aligned language models, focusing on perplexity filter and paraphrase defense strategies.
Persona
- awesome-llm-security
- -
- baseline-defenses
- -
Runtime
- awesome-llm-security
- -
- baseline-defenses
- -
License
- awesome-llm-security
- -
- baseline-defenses
- -
Last pushed
- awesome-llm-security
- Aug 20, 2025
- baseline-defenses
- Oct 26, 2023
Categories
- awesome-llm-security
- Evaluation & Observability
- baseline-defenses
- Evaluation & Observability
Trust and health
Maintenance
- awesome-llm-security
- Slowing (36%)
- baseline-defenses
- Dormant (18%)
Days since push
- awesome-llm-security
- 351d
- baseline-defenses
- 1013d
Open issues (now)
- awesome-llm-security
- 173
- baseline-defenses
- 0
Owner type
- awesome-llm-security
- Organization
- baseline-defenses
- User
Full report
- awesome-llm-security
- Trust report
- baseline-defenses
- Trust report
Shared compatibility
- ChatGPT · awesome-llm-security: Works with ChatGPT · baseline-defenses: Works with ChatGPT
Choose awesome-llm-security if…
- Pricing: As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided)..
- Tags unique to awesome-llm-security: awesome-list, llm, security.
- When you are specifically looking for detailed information on both white-box and black-box attacks targeted at Large Language Models (LLMs), which 'awesome-llm-security' comprehensively catalogs.
When NOT to use awesome-llm-security
- When your primary interest is in general software security or vulnerabilities unrelated to language models, since 'awesome-llm-security' zeroes in on attack vectors specifically for LLMs.
- If you are solely interested in tools and methods that are not publicly discussed or peer-reviewed; the repository focuses on documented approaches within reputable academic publications.
Choose baseline-defenses if…
- Tags unique to baseline-defenses: adversarial-attacks, defense strategies, paraphrase defense, perplexity filter.
- - When you need to evaluate the effectiveness of baseline defenses such as the perplexity filter or paraphrase defense in protecting aligned language models from adversarial attacks.
- Leaner open-issue backlog (0).
When NOT to use baseline-defenses
- - Do not use if you require comprehensive coverage of all possible defensive measures. This tool specifically lacks detailed code for retokenization defenses involving BPE-dropout.
- - If your scenario demands more advanced or specialized defense mechanisms beyond the scope of baseline strategies, this repository will fall short on delivering those.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (corca-ai/awesome-llm-security) · observed Aug 6, 2026
- GitHub forks (corca-ai/awesome-llm-security) · observed Aug 6, 2026
- Last push (corca-ai/awesome-llm-security) · observed Aug 20, 2025
- License file (unknown) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (neelsjain/baseline-defenses) · observed Aug 5, 2026
- GitHub forks (neelsjain/baseline-defenses) · observed Aug 5, 2026
- Last push (neelsjain/baseline-defenses) · observed Oct 26, 2023
- License file (unknown) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-llm-security 1.7k · baseline-defenses 34 (synced Aug 6, 2026).
Common questions
- What is the difference between awesome-llm-security and baseline-defenses?
- awesome-llm-security: A curation of tools, documents and projects about LLM Security. baseline-defenses: Research code for evaluating defenses against adversarial attacks on aligned language models. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-llm-security over baseline-defenses?
- Choose awesome-llm-security over baseline-defenses when Pricing: As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided).; Tags unique to awesome-llm-security: awesome-list, llm, security; When you are specifically looking for detailed information on both white-box and black-box attacks targeted at Large Language Models (LLMs), which 'awesome-llm-security' comprehensively catalogs.
- When should I choose baseline-defenses over awesome-llm-security?
- Choose baseline-defenses over awesome-llm-security when Tags unique to baseline-defenses: adversarial-attacks, defense strategies, paraphrase defense, perplexity filter; - When you need to evaluate the effectiveness of baseline defenses such as the perplexity filter or paraphrase defense in protecting aligned language models from adversarial attacks; Leaner open-issue backlog (0).
- When should I avoid awesome-llm-security?
- When your primary interest is in general software security or vulnerabilities unrelated to language models, since 'awesome-llm-security' zeroes in on attack vectors specifically for LLMs. If you are solely interested in tools and methods that are not publicly discussed or peer-reviewed; the repository focuses on documented approaches within reputable academic publications.
- When should I avoid baseline-defenses?
- - Do not use if you require comprehensive coverage of all possible defensive measures. This tool specifically lacks detailed code for retokenization defenses involving BPE-dropout. - If your scenario demands more advanced or specialized defense mechanisms beyond the scope of baseline strategies, this repository will fall short on delivering those.
- Is awesome-llm-security or baseline-defenses more popular on GitHub?
- awesome-llm-security has more GitHub stars (1,672 vs 34). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-llm-security and baseline-defenses open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to awesome-llm-security or baseline-defenses?
- GraphCanon lists graph-backed alternatives at awesome-llm-security alternatives and baseline-defenses alternatives (awesome-llm-security markdown twin, baseline-defenses 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, awesome-llm-security or baseline-defenses?
- awesome-llm-security: Slowing. baseline-defenses: 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 awesome-llm-security and baseline-defenses?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-llm-security trust report; baseline-defenses trust report.