3 papers
cs.CV2026
CUPID: Reconstructing UV Texture Maps for Interpretable Person-of-Interest Deepfake Detection
Giovanni Affatato, Sara Mandelli, Edoardo Daniele Cannas +2
Deepfakes targeting a high-profile individual, known as Person-of-Interest (POI), are a threat to modern democracies and societies. Current POI deepfake detection methods still str…
eess.IV2025
Is JPEG AI going to change image forensics?
Edoardo Daniele Cannas, Sara Mandelli, NataÅ¡a PopoviÄ +4
In this paper, we investigate the counter-forensic effects of the new JPEG AI standard based on neural image compression, focusing on two critical areas: deepfake image detection a…
cs.CV2025
Hiding Local Manipulations on SAR Images: a Counter-Forensic Attack
Sara Mandelli, Edoardo Daniele Cannas, Paolo Bestagini +2
The vast accessibility of Synthetic Aperture Radar (SAR) images through online portals has propelled the research across various fields. This widespread use and easy availability h…