29 citations · 41 across the 7 of their papers we have counts for
8 papers
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…
Is JPEG AI going to change image forensics?
Edoardo Daniele Cannas, Sara Mandelli, Nataša Popović +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…
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…
An Overview on the Generation and Detection of Synthetic and Manipulated Satellite Images
Lydia Abady, Edoardo Daniele Cannas, Paolo Bestagini +3
Due to the reduction of technological costs and the increase of satellites launches, satellite images are becoming more popular and easier to obtain. Besides serving benevolent pur…
Amplitude SAR Imagery Splicing Localization
Edoardo Daniele Cannas, Nicolò Bonettini, Sara Mandelli +2
Synthetic Aperture Radar (SAR) images are a valuable asset for a wide variety of tasks. In the last few years, many websites have been offering them for free in the form of easy to…
Forensic Analysis of Synthetically Generated Western Blot Images
Sara Mandelli, Davide Cozzolino, Edoardo D. Cannas +8
The widespread diffusion of synthetically generated content is a serious threat that needs urgent countermeasures. As a matter of fact, the generation of synthetic content is not r…
Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection
Luca Bondi, Edoardo Daniele Cannas, Paolo Bestagini +1
The fast and continuous growth in number and quality of deepfake videos calls for the development of reliable detection systems capable of automatically warning users on social med…
Video Face Manipulation Detection Through Ensemble of CNNs
Nicolò Bonettini, Edoardo Daniele Cannas, Sara Mandelli +3
In the last few years, several techniques for facial manipulation in videos have been successfully developed and made available to the masses (i.e., FaceSwap, deepfake, etc.). Thes…