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A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).

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Awesome-LM-SSP

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Awesome-LM-SSP

Introduction

The resources related to the trustworthiness of large models (LMs) across multiple dimensions (e.g., safety, security, and privacy), with a special focus on multi-modal LMs (e.g., vision-language models and diffusion models).

  • This repo is in progress 🌱 (currently manually collected).

  • Badges:

    • Model:

      • LLM
      • VLM
      • SLM
      • Diffusion
    • Comment: Benchmark New_dataset Agent CodeGen Defense RAG Chinese ...

    • Venue: conference blog OpenAI Meta AI ...

  • 🌻 Welcome to recommend resources to us via Issues with the following format (please fill in this table):

Title Link Code Venue Classification Model Comment
aa arxiv github bb'23 A1. Jailbreak LLM Agent

News

  • [2024.05.13] We collected 7 related papers from S&P'24!
  • [2024.04.27] We adjusted the categories.
  • [2024.01.20] We collected 3 related papers from NDSS'24!
  • [2024.01.17] We collected 108 related papers from ICLR'24!
  • [2024.01.09] 🚀 LM-SSP is released!

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A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).

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