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.

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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.