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:

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  • Comment: ...

  • Venue: ...

• 🌻 Welcome to recommend resources to us via pulling requests or opening issues with the following format:

Title	Link	Code	Venue	Classification	Model	Comment
aa	arxiv	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

• Book (3)
• Competition (5)
• Leaderboard (4)
• Toolkit (12)
• Survey (36)
• Paper (1946)
  • A. Safety (1005)
    • A0. General (27)
    • A1. Jailbreak (448)
    • A2. Alignment (119)
    • A3. Deepfake (80)
    • A4. Ethics (5)
    • A5. Fairness (58)
    • A6. Hallucination (113)
    • A7. Prompt Injection (77)
    • A8. Toxicity (78)
  • B. Security (351)
    • B0. General (14)
    • B1. Adversarial Examples (99)
    • B2. Agent (68)
    • B3. Poison & Backdoor (147)
    • B4. System (23)
  • C. Privacy (590)
    • C0. General (44)
    • C1. Contamination (15)
    • C2. Data Reconstruction (57)
    • C3. Data Reconstruction (1)
    • C4. Membership Inference Attacks (53)
    • C5. Model Extraction (13)
    • C6. Privacy-Preserving Computation (114)
    • C7. Property Inference Attacks (5)
    • C8. Side-Channel (7)
    • C9. Unlearning (62)
    • C10. Watermark & Copyright (219)

Big love to the community — thank you! 🙏

Acknowledgement

• Organizers: Tianshuo Cong (丛天硕), Xinlei He (何新磊), Zhengyu Zhao (赵正宇), Yugeng Liu (刘禹更), Delong Ran (冉德龙)

• This project is inspired by LLM Security, Awesome LLM Security, LLM Security & Privacy, UR2-LLMs, PLMpapers, EvaluationPapers4ChatGPT