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).
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This repo is in progress 🌱 (manually collected).
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🌻 Welcome to recommend resources to us via pulling requests or opening issues with the following format:
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| Title | Link | Code | Venue | Classification | Model | Comment |
|---|---|---|---|---|---|---|
| aa | arxiv | github | bb'23 | A1. Jailbreak | LLM | Agent |
- [2025.01.09] 🎂 Happy 1st Birthday to Awesome-LM-SSP! Keep Going! 💪
- [2024.01.09] 🚀 LM-SSP is released!
- Book (3)
- Competition (5)
- Leaderboard (4)
- Toolkit (12)
- Survey (36)
- Paper (1809)
- A. Safety (951)
- A0. General (24)
- A1. Jailbreak (418)
- A2. Alignment (110)
- A3. Deepfake (76)
- A4. Ethics (5)
- A5. Fairness (58)
- A6. Hallucination (113)
- A7. Prompt Injection (71)
- A8. Toxicity (76)
- B. Security (315)
- B0. General (14)
- B1. Adversarial Examples (94)
- B2. Agent (50)
- B3. Poison & Backdoor (139)
- B4. System (18)
- C. Privacy (543)
- C0. General (38)
- C1. Contamination (13)
- C2. Copyright (203)
- C3. Data Reconstruction (56)
- C4. Membership Inference Attacks (46)
- C5. Model Extraction (12)
- C6. Privacy-Preserving Computation (106)
- C7. Property Inference Attacks (4)
- C8. Side-Channel (7)
- C9. Unlearning (58)
- A. Safety (951)
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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)
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This project is inspired by LLM Security, Awesome LLM Security, LLM Security & Privacy, UR2-LLMs, PLMpapers, EvaluationPapers4ChatGPT
