Successful forensic detectors can produce excellent results in supervised learning
benchmarks but struggle to transfer to real-world applications. We believe this limitation is …

This work asks: with abundant, unlabeled real faces, how to learn a robust and transferable
facial representation that boosts various face security tasks with respect to generalization …

The proliferation of AI-generated media poses significant challenges to information
authenticity and social trust, making reliable detection methods highly demanded. Methods …

Although diffusion models have achieved remarkable success in the field of image
generation, their latent space remains under-explored. Current methods for identifying …

In recent years generative AI models and tools have experienced a significant increase,
especially techniques to generate synthetic multimedia content, such as images or videos …

Current fake image detectors trained on large synthetic image datasets perform satisfactorily
on limited studied generative models. However, they suffer a notable performance decline …