CryptoAILab/Awesome-LM-SSP resource

Health v2 · maintenance only

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Adoption not part of the score

2066 stars · 164 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list reading list of papers, surveys, toolkits, benchmarks, and competitions on the safety, security, and privacy of large models, with special focus on multi-modal LMs like vision-language and diffusion models. It contains over 2,300 manually collected papers organized into categories such as jailbreak attacks and defenses.

Use cases

• find papers on llm jailbreak attacks
• research on large language model safety
• survey of adversarial attacks on vision-language models
• reading list for llm security and privacy
• find benchmarks for evaluating llm trustworthiness
• literature review on diffusion model safety
• keep up with new research on ai model privacy

When to choose

• you need a comprehensive, actively maintained bibliography of LLM safety/security/privacy research
• you want papers organized by model type (LLM, VLM, SLM, diffusion) and topic with venue metadata
• you are starting research on jailbreaks, adversarial attacks, or model trustworthiness

When to avoid

• you need runnable software or a security toolkit rather than a paper list
• you want automated, exhaustive coverage rather than manually curated selections
• you need production security tooling for deploying LLMs

Facets

learning-resource · maturity active

security privacy nlp large-language-models security artificial-intelligence awesome-lists cross-platform awesome-list llm-safety llm-security jailbreak adversarial-attacks reading-list vision-language-models diffusion-models trustworthiness papers natural-language-processing

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For agents

markdown · JSON · MCP: product_card(name="CryptoAILab/Awesome-LM-SSP")