Ecosyste.ms: Awesome

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Awesome-LM-SSP

A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).
https://github.com/ThuCCSLab/Awesome-LM-SSP

Last synced: 5 days ago
JSON representation

News
Introduction
- LLM - 589cf4)
- VLM - c7688b)
- SLM - 39c5bb)
- Diffusion
- Benchmark - 87b800) ![Agent](https://img.shields.io/badge/Agent-87b800) ![CodeGen](https://img.shields.io/badge/CodeGen-87b800) ![Defense](https://img.shields.io/badge/Defense-87b800) ![RAG](https://img.shields.io/badge/RAG-87b800) ![Chinese](https://img.shields.io/badge/Chinese-87b800) ...
- conference - f1b800) ![OpenAI](https://img.shields.io/badge/OpenAI-f1b800) ![Meta AI](https://img.shields.io/badge/Meta_AI-f1b800) ...
Star History
- ![Star History Chart - history.com/#ThuCCSLab/Awesome-LM-SSP&Date)
- ![Star History Chart - history.com/#ThuCCSLab/Awesome-LM-SSP&Date)
Acknowledgement
- Tianshuo Cong (丛天硕)
- LLM Security - ai/awesome-llm-security), [LLM Security & Privacy](https://github.com/chawins/llm-sp), [UR2-LLMs](https://github.com/jxzhangjhu/Awesome-LLM-Uncertainty-Reliability-Robustness), [PLMpapers](https://github.com/thunlp/PLMpapers), [EvaluationPapers4ChatGPT](https://github.com/THU-KEG/EvaluationPapers4ChatGPT)