Awesome-LM-SSP and awesome-llm-security
These two projects are competitors, both serving as curated reading lists and resource aggregators for large language model security, safety, and privacy.
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
DevGreick/awesome-llm-security
A curated list of tools, frameworks, and resources for securing LLM applications, agents, and AI infrastructure.
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