๐ฌTechnical Deep Dive
Full Specifications [+]
Quick Commands
git clone https://github.com/cryptoailab/awesome-lm-ssp โ๏ธ Nexus Index V2.0
๐ฌ Index Insight
FNI V2.0 for Awesome Lm Ssp: Semantic (S:50), Authority (A:0), Popularity (P:69), Recency (R:95), Quality (Q:50).
Verification Authority
๐ What's Next?
Technical Deep Dive
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:
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Comment:
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Venue:
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๐ฅ๐ฅ๐ฅ Help us update the list! ๐ฅ๐ฅ๐ฅ
- 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] ๐๐ Happy 2nd Birthday to Awesome-LM-SSP! Keep Going! ๐ช
- [2025.01.09] ๐ Happy 1st Birthday to Awesome-LM-SSP! Keep Going! ๐ช
- [2024.01.09] ๐ LM-SSP is released!
Collections
- Book (3)
- Competition (5)
- Leaderboard (5)
- Toolkit (24)
- Survey (41)
- Paper (2387)
- A. Safety (1193)
- A0. General (30)
- A1. Jailbreak (534)
- A2. Alignment (147)
- A3. Deepfake (94)
- A4. Ethics (8)
- A5. Fairness (60)
- A6. Hallucination (116)
- A7. Prompt Injection (118)
- A8. Toxicity (86)
- B. Security (472)
- B0. General (16)
- B1. Adversarial Examples (105)
- B2. Agent (138)
- B3. Poison & Backdoor (183)
- B4. Side-Channel (5)
- B5. System (25)
- C. Privacy (722)
- C0. General (55)
- C1. Contamination (17)
- C2. Data Reconstruction (64)
- 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 (1193)
Big love to the community โ thank you! ๐
Acknowledgement
Organizers: Tianshuo Cong (ไธๅคฉ็ก), Xinlei He (ไฝๆฐ็ฃ), Zhengyu Zhao (่ตตๆญฃๅฎ), Yugeng Liu (ๅ็ฆนๆด), Delong Ran (ๅๅพท้พ)
This project is inspired by LLM Security, Awesome LLM Security, LLM Security & Privacy, UR2-LLMs, PLMpapers, EvaluationPapers4ChatGPT
โ ๏ธ Incomplete Data
Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.
View Original Source โ๐ Limitations & Considerations
- โข Benchmark scores may vary based on evaluation methodology and hardware configuration.
- โข VRAM requirements are estimates; actual usage depends on quantization and batch size.
- โข FNI scores are relative rankings and may change as new models are added.
- โ License Unknown: Verify licensing terms before commercial use.
AI Summary: Based on GitHub metadata. Not a recommendation.
๐ก๏ธ Model Transparency Report
Technical metadata sourced from upstream repositories.
๐ Identity & Source
- id
- gh-model--cryptoailab--awesome-lm-ssp
- slug
- cryptoailab--awesome-lm-ssp
- source
- github
- author
- CryptoAILab
- license
- Apache-2.0
- tags
- adversarial-attacks, awesome-list, diffusion-models, jailbreak, language-model, llm, nlp, privacy, safety, security, vlm
โ๏ธ Technical Specs
- architecture
- null
- params billions
- null
- context length
- null
- pipeline tag
- text-generation
๐ Engagement & Metrics
- downloads
- 0
- stars
- 1,922
- forks
- 0
Data indexed from public sources. Updated daily.