384 citations · 1.2k across the 35 of their papers we have counts for
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Anchor-Regularized Adaptation for Generalizable AI-Generated Image Detection with DINOv3
Hyeongjun Choi, Juhun Lee, Davide Cozzolino +2
Recent works in AI-generated image detection have shown that careful training data alignment can improve generalization by removing spurious correlations. However, linear probes on…
Understanding Why Foundation Models Work for Diffusion-Generated Image Detection
Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva
Vision foundation models have recently emerged as powerful feature extractors for detecting AI-generated images, achieving strong generalization across generators and robustness to…
Chroma Clues: Leveraging Color Statistics to Detect Synthetic Images
Lea Uhlenbrock, Davide Cozzolino, Christian Riess
The evolution and dissemination of AI-synthesized images is occurring at an unprecedented rate. Image generators are making rapid progress in their goal of perfectly imitating natu…
Quality-Aware Calibration for AI-Generated Image Detection in the Wild
Fabrizio Guillaro, Vincenzo De Rosa, Davide Cozzolino +1
Significant progress has been made in detecting synthetic images, however most existing approaches operate on a single image instance and overlook a key characteristic of real-worl…