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 🌱 (currently manually collected).
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Badges:
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Model:
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Comment:
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Venue (Continuous update):
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🌻 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 |
- [2023.01.20] 🔥 We collect
3related papers from NDSS'24! - [2023.01.17] 🔥 We collect
108related papers from ICLR'24! - [2023.01.09] 🔥 LM-SSP is released!
- Book (1)
- Competition (5)
- Leaderboard (3)
- Toolkit (3)
- Survey (25)
- Paper
- A. Safety
- A1. Jailbreak (108)
- A2. Alignment (44)
- A3. Deepfake (26)
- A4. Ethics (5)
- A5. Fairness (45)
- A6. Hallucination (85)
- A7. Prompt Injection (6)
- A8. Toxicity (40)
- B. Security
- B1. Adversarial Examples (53)
- B2. Poisoning (35)
- B3. System (4)
- C. Privacy
- C1. Contamination (7)
- C2. Copyright (32)
- C3. Data Reconstruction (10)
- C4. Extraction (6)
- C5. Inference (24)
- C6. Privacy-Preserving Computation (15)
- C7. Unlearning (18)
- A. Safety
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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
