Synthetic Image Verification in the Era of Generative AI: What Works and What Isn't There Yet
This addresses the problem of verifying synthetic images for researchers and practitioners in AI security and media forensics, but it is incremental as it reviews existing approaches without introducing new methods.
The paper provides an overview of methods for detecting and attributing synthetic images, highlighting their strengths and weaknesses, and discusses current challenges and future research directions in the field.
In this work we present an overview of approaches for the detection and attribution of synthetic images and highlight their strengths and weaknesses. We also point out and discuss hot topics in this field and outline promising directions for future research.