Home/Compare/awesome-llm-security vs IB4LLMs

Comparison

awesome-llm-security vs IB4LLMs

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 IB4LLMs if iB4LLMs (IBProtector) is an LLM jailbreak defense method using the Information Bottleneck principle to prevent adversarial prompts while preserving key information.

Markdown twin · awesome-llm-security alternatives · IB4LLMs alternatives

GraphCanon updated 2w

awesome-llm-security logo

awesome-llm-security

corca-ai/awesome-llm-security

1.7kpushed Aug 20, 2025
vs
IB4LLMs logo

IB4LLMs

zichuan-liu/IB4LLMs

25pushed Nov 7, 2024

Trust & integrity

Signalawesome-llm-securityIB4LLMs
Maintenance
Slowing (351d since push)
As of 2w · github_public_v1
Dormant (635d 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
Published findings
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
IB4LLMs
Protecting Your LLMs with Information Bottleneck

Stars

awesome-llm-security
1.7k
IB4LLMs
25

Forks

awesome-llm-security
312
IB4LLMs
2

Open issues

awesome-llm-security
173
IB4LLMs
4

Language

awesome-llm-security
-
IB4LLMs
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
IB4LLMs
IB4LLMs (IBProtector) is an LLM jailbreak defense method using the Information Bottleneck principle to prevent adversarial prompts while preserving key information.

Persona

awesome-llm-security
-
IB4LLMs
-

Runtime

awesome-llm-security
-
IB4LLMs
-

License

awesome-llm-security
-
IB4LLMs
-

Last pushed

awesome-llm-security
Aug 20, 2025
IB4LLMs
Nov 7, 2024

Categories

awesome-llm-security
Evaluation & Observability
IB4LLMs
Evaluation & Observability, LLM Frameworks

Trust and health

Maintenance

awesome-llm-security
Slowing (36%)
IB4LLMs
Dormant (18%)

Days since push

awesome-llm-security
351d
IB4LLMs
635d

Open issues (now)

awesome-llm-security
173
IB4LLMs
4

Owner type

awesome-llm-security
Organization
IB4LLMs
User

OSV dependency advisories

awesome-llm-security
No lockfile (source not queried)
IB4LLMs
Published findings

Full report

awesome-llm-security
Trust report

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 IB4LLMs if…

  • Pricing: License information unavailable; specific model pricing not provided..
  • Requirements: Dependencies include datasets==2.14.5, torch==2.1.1, transformers==4.40.1 among others..
  • Tags unique to IB4LLMs: evaluation scripts, finetuning, inference, information bottleneck.
  • Also covers LLM Frameworks.
  • When you need a specialized tool for guarding against jailbreaks in your language models without losing important data.

When NOT to use IB4LLMs

  • If you require a more generalized model protection approach that does not rely strictly on the Information Bottleneck principle.
  • When your environment lacks support for specific packages like `fschat==0.2.20` which is crucial and cannot be updated due to potential conflicts.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: awesome-llm-security 1.7k · IB4LLMs 25 (synced Aug 6, 2026).

Common questions

What is the difference between awesome-llm-security and IB4LLMs?
awesome-llm-security: A curation of tools, documents and projects about LLM Security. IB4LLMs: Protecting Your LLMs with Information Bottleneck. See the comparison table for live GitHub stats and shared categories.
When should I choose awesome-llm-security over IB4LLMs?
Choose awesome-llm-security over IB4LLMs 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 IB4LLMs over awesome-llm-security?
Choose IB4LLMs over awesome-llm-security when Pricing: License information unavailable; specific model pricing not provided.; Requirements: Dependencies include datasets==2.14.5, torch==2.1.1, transformers==4.40.1 among others.; Tags unique to IB4LLMs: evaluation scripts, finetuning, inference, information bottleneck; Also covers LLM Frameworks; When you need a specialized tool for guarding against jailbreaks in your language models without losing important data.
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 IB4LLMs?
If you require a more generalized model protection approach that does not rely strictly on the Information Bottleneck principle. When your environment lacks support for specific packages like fschat==0.2.20 which is crucial and cannot be updated due to potential conflicts.
Is awesome-llm-security or IB4LLMs more popular on GitHub?
awesome-llm-security has more GitHub stars (1,672 vs 25). Stars measure visibility, not whether either tool fits your constraints.
Are awesome-llm-security and IB4LLMs open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to awesome-llm-security or IB4LLMs?
GraphCanon lists graph-backed alternatives at awesome-llm-security alternatives and IB4LLMs alternatives (awesome-llm-security markdown twin, IB4LLMs 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 IB4LLMs?
awesome-llm-security: Slowing. IB4LLMs: 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 IB4LLMs?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-llm-security trust report; IB4LLMs trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.