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 (22)
- Paper (632)
- A. Safety (393)
- A0. General (0)
- A1. Jailbreak (116)
- A2. Alignment (46)
- A3. Deepfake (29)
- A4. Ethics (5)
- A5. Fairness (49)
- A6. Hallucination (92)
- A7. Prompt Injection (10)
- A8. Toxicity (46)
- B. Security (101)
- B0. General (0)
- B1. Adversarial Examples (59)
- B2. Poisoning (37)
- B3. System (5)
- C. Privacy (138)
- C0. General (0)
- C1. Contamination (7)
- C2. Copyright (43)
- C3. Data Reconstruction (10)
- C4. Extraction (10)
- C5. Inference (25)
- C6. Privacy-Preserving Computation (19)
- C7. Unlearning (24)
- A. Safety (393)
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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
