Awesome-LM-SSP and awesome-llm-security
These are competing curated reading lists covering overlapping domains (LLM security, safety, and privacy resources), with A being the more mature and comprehensive collection based on community adoption metrics.
About Awesome-LM-SSP
CryptoAILab/Awesome-LM-SSP
A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).
This resource helps researchers and practitioners in the field of large models understand and mitigate risks related to safety, security, and privacy. It provides a curated reading list and database of research papers, books, competitions, and toolkits on topics like jailbreaking, adversarial attacks, and data privacy. Anyone working on or deploying large language, vision-language, or diffusion models would find this valuable.
About awesome-llm-security
beyefendi/awesome-llm-security
Awesome LLM security tools, research, and documents
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