Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality. (arXiv:2307.02347v2 [cs.CV] UPDATED)

Diffusion models recently have been successfully applied for the visual
synthesis of strikingly realistic appearing images. This raises strong concerns
about their potential for malicious purposes. In this paper, we propose using
the lightweight multi Local Intrinsic Dimensionality (multiLID), which has been
originally developed in context of the detection of adversarial examples, for
the automatic detection of synthetic images and the identification of the
according generator networks. In contrast to many existing detection
approaches, which often only work for GAN-generated …

diffusion models generated images local malicious