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.
1,882 stars. Actively maintained with 12 commits in the last 30 days.
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Apache-2.0
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Last pushed
Mar 04, 2026
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12
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