3 papers
cs.CV2025
Detecting Localized Deepfakes: How Well Do Synthetic Image Detectors Handle Inpainting?
Serafino Pandolfini, Lorenzo Pellegrini, Matteo Ferrara +1
The rapid progress of generative AI has enabled highly realistic image manipulations, including inpainting and region-level editing. These approaches preserve most of the original…
cs.CV2025
AI-GenBench: A New Ongoing Benchmark for AI-Generated Image Detection
Lorenzo Pellegrini, Davide Cozzolino, Serafino Pandolfini +5
The rapid advancement of generative AI has revolutionized image creation, enabling high-quality synthesis from text prompts while raising critical challenges for media authenticity…
cs.CV2025
Generalized Design Choices for Deepfake Detectors
Lorenzo Pellegrini, Serafino Pandolfini, Davide Maltoni +3
The effectiveness of deepfake detection methods often depends less on their core design and more on implementation details such as data preprocessing, augmentation strategies, and…