Awesome-LM-SSP and llm-sp
These are **complements** — one is a curated reading list/bibliography for LLM security research while the other is a focused repository of papers and resources, so users would typically consult both to build comprehensive knowledge of the field.
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 llm-sp
chawins/llm-sp
Papers and resources related to the security and privacy of LLMs 🤖
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work