chawins/llm-sp
Papers and resources related to the security and privacy of LLMs 🤖
This resource curates and organizes research papers and materials focused on the security and privacy aspects of Large Language Models (LLMs). It helps security researchers, AI developers, and academic practitioners stay current with emerging threats like prompt injection and data privacy issues. The resource takes in a broad spectrum of research papers and provides a structured overview of vulnerabilities, defenses, and relevant datasets.
570 stars. No commits in the last 6 months.
Use this if you are a security researcher, AI developer, or academic working with LLMs and need a curated, up-to-date collection of research on their security and privacy implications.
Not ideal if you are looking for ready-to-use code, tools, or hands-on tutorials for implementing LLM security solutions.
Stars
570
Forks
43
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 08, 2025
Commits (30d)
0
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