On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook

• Published in: International journal of computer vision Vol. 133; no. 7; pp. 4317 - 4348
• Main Authors: Fan, Mingyuan, Wang, Chengyu, Chen, Cen, Liu, Yang, Huang, Jun
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.07.2025; Springer Nature B.V
• Subjects: Accountability; Artificial Intelligence; Computer Imaging; Computer Science; Computer vision; Diffusion models; Generative artificial intelligence; Image Processing and Computer Vision; Investigations; Large language models; Pattern Recognition; Pattern Recognition and Graphics; Privacy; Special Issue on Large-Scale Generative Models for Content Creation and Manipulation; Trustworthiness; Vision; Privacy; Trustworthiness; Large language models; Diffusion models; Security; Responsibility; Fairness

Diffusion models and large language models have emerged as leading-edge generative models, revolutionizing various aspects of human life. However, their practical implementation has also exposed inherent risks, bringing to light their potential downsides and sparking concerns about their trustworthi...