Synthetic Image Generation in Cyber Influence Operations: An Emergent Threat?

arXiv:2403.12207v1 Announce Type: cross
Abstract: The evolution of artificial intelligence (AI) has catalyzed a transformation in digital content generation, with profound implications for cyber influence operations. This report delves into the potential and limitations of generative deep learning models, such as diffusion models, in fabricating convincing synthetic images. We critically assess the accessibility, practicality, and output quality of these tools and their implications in threat scenarios of deception, influence, and subversion. Notably, the report generates content for several hypothetical cyber …

abstract artificial artificial intelligence arxiv content generation cs.ai cs.cv cs.cy cyber deep learning diffusion diffusion models digital digital content evolution generative image image generation images influence intelligence limitations operations report synthetic threat transformation type