CryptoAILab/Awesome-LM-SSP
A manually curated awesome list of research papers and resources on trustworthiness of large language models, vision-language models, and diffusion models.

Not currently ranked — collecting fresh signals.
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This repository aggregates academic papers, benchmarks, and resources related to safety, security, and privacy of large models across multiple modalities. It covers adversarial attacks, jailbreaking, defense mechanisms, and privacy concerns for LLMs, VLMs, and diffusion models. The list is organized with badges indicating model types, research categories, and publication venues.
Frequently asked
- What is CryptoAILab/Awesome-LM-SSP?
- A manually curated awesome list of research papers and resources on trustworthiness of large language models, vision-language models, and diffusion models.
- Is Awesome-LM-SSP open source?
- Yes — CryptoAILab/Awesome-LM-SSP is open source, released under the Apache-2.0 license.
- How popular is Awesome-LM-SSP?
- CryptoAILab/Awesome-LM-SSP has 2k stars on GitHub.
- Where can I find Awesome-LM-SSP?
- CryptoAILab/Awesome-LM-SSP is on GitHub at https://github.com/CryptoAILab/Awesome-LM-SSP.