Awesome-LM-SSP and awesome-llm-security-alignment
These are complements that serve different audiences: one is a comprehensive reading list for practitioners seeking established knowledge across safety/security/privacy domains, while the other is a curated research repository for those tracking emerging papers and alignment experiments.
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-alignment
0xSweet/awesome-llm-security-alignment
A curated list of research papers, experiments, and resources related to LLM security and alignment.
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