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.).
Organizes 2,387 papers across safety, security, and privacy dimensions with specialized coverage of multi-modal models (vision-language, speech, diffusion). Papers are categorized by attack type (jailbreak, adversarial examples, membership inference) and defense mechanisms, with tagged metadata covering benchmarks, datasets, code availability, and publication venues. Maintains a crowdsourced database using Google Sheets for community contributions, enabling continuous updates as research advances.
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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