CryptoAILab/Awesome-LM-SSP
github.com/CryptoAILab/Awesome-LM-SSPA reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).
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 :seedling: (manually collected).
Badges:
Model:
Comment:
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Venue:
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🔥🔥🔥 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:
-589cf4){kind=icon}
-c7688b){kind=icon}
-39c5bb){kind=icon}
| Title | Link | Code | Venue | Classification | Model | Comment |
|---|---|---|---|---|---|---|
| This is a title | paper.com | github | bb'23 | A1. Jailbreak | LLM | Agent |
News
- [2026.01.09] 🎂🎂 Happy 2nd Birthday to Awesome-LM-SSP! Keep Going! 💪
- [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 (5)
- Toolkit (33)
- Survey (41)
- Paper (2393)
- A. Safety (1197)
- A0. General (30)
- A1. Jailbreak (536)
- A2. Alignment (147)
- A3. Deepfake (94)
- A4. Ethics (8)
- A5. Fairness (60)
- A6. Hallucination (118)
- A7. Prompt Injection (118)
- A8. Toxicity (86)
- B. Security (473)
- B0. General (16)
- B1. Adversarial Examples (105)
- B2. Agent (139)
- B3. Poison & Backdoor (183)
- B4. Side-Channel (5)
- B5. System (25)
- C. Privacy (723)
- C0. General (55)
- C1. Contamination (17)
- C2. Data Reconstruction (65)
- C3. Membership Inference Attacks (69)
- C4. Model Extraction (14)
- C5. Privacy-Preserving Computation (133)
- C6. Property Inference Attacks (8)
- C7. Side-Channel (10)
- C8. Unlearning (70)
- C9. Watermark & Copyright (282)
- A. Safety (1197)
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
