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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 🌱 (manually collected).

  • Badges:

    • Model:

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

    • Venue: conference blog OpenAI Meta AI ...

  • 🔥🔥🔥 Help us update the list! 🔥🔥🔥

    • First, check papers through our database: Metadata of LM-SSP.
    • If you want to update the information of a paper (e.g., an arXiv paper has been accepted by a venue), search the paper title in our metadata table and then leave a message in the corresponding cell of the table.
    • If you would like to add some paper, please fill in the following table through ISSUE:
Title Link Code Venue Classification Model Comment
This is a title paper.com github bb'23 A1. Jailbreak LLM Agent

News

  • [2025.01.09] 🎂 Happy 1st Birthday to Awesome-LM-SSP! Keep Going! 💪
  • [2024.01.09] 🚀 LM-SSP is released!

Collections

Big love to the community — thank you! 🙏

Star History Chart

Acknowledgement

About

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

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Contributors 21