Detecting and attributing ai-generated images with machine learning

Abstract

The exponential growth of artificial intelligence (AI) usage for image creation emphasizes the urgent necessity for reliable mechanisms to differentiate real photographs from AI-generated counterparts. This thesis will explore the training of various machine-learning systems capable of identifying synthetic images and determining the generative model responsible for their creation, helping to verify the authenticity and trustworthiness of digital media.