On the Trustworthiness Landscape of State-of-the-art Generative Models: A Comprehensive Survey. (arXiv:2307.16680v2 [cs.LG] UPDATED)

Diffusion models and large language models have emerged as leading-edge
generative models and have sparked a revolutionary impact on various aspects of
human life. However, the practical implementation of these models has also
exposed inherent risks, highlighting their dual nature and raising concerns
regarding their trustworthiness. Despite the abundance of literature on this
subject, a comprehensive survey specifically delving into the intersection of
large-scale generative models and their trustworthiness remains largely absent.
To bridge this gap, This paper investigates both …

art diffusion models edge exposed generative generative models human impact implementation language language models large life nature risks state survey trustworthiness