154 citations · 374 across the 25 of their papers we have counts for
6 papers · 1 filter
Enhancing Crime Scene Investigations through Virtual Reality and Deep Learning Techniques
Antonino Zappalà, Luca Guarnera, Vincenzo Rinaldi +2
The analysis of a crime scene is a pivotal activity in forensic investigations. Crime Scene Investigators and forensic science practitioners rely on best practices, standard operat…
Deepfake Media Forensics: State of the Art and Challenges Ahead
Irene Amerini, Mauro Barni, Sebastiano Battiato +21
AI-generated synthetic media, also called Deepfakes, have significantly influenced so many domains, from entertainment to cybersecurity. Generative Adversarial Networks (GANs) and…
DeepFeatureX Net: Deep Features eXtractors based Network for discriminating synthetic from real images
Orazio Pontorno, Luca Guarnera, Sebastiano Battiato
Deepfakes, synthetic images generated by deep learning algorithms, represent one of the biggest challenges in the field of Digital Forensics. The scientific community is working to…
On the Exploitation of DCT-Traces in the Generative-AI Domain
Orazio Pontorno, Luca Guarnera, Sebastiano Battiato
Deepfakes represent one of the toughest challenges in the world of Cybersecurity and Digital Forensics, especially considering the high-quality results obtained with recent generat…
A Novel Dataset for Non-Destructive Inspection of Handwritten Documents
Eleonora Breci, Luca Guarnera, Sebastiano Battiato
Forensic handwriting examination is a branch of Forensic Science that aims to examine handwritten documents in order to properly define or hypothesize the manuscript's author. Thes…
MITS-GAN: Safeguarding Medical Imaging from Tampering with Generative Adversarial Networks
Giovanni Pasqualino, Luca Guarnera, Alessandro Ortis +1
The progress in generative models, particularly Generative Adversarial Networks (GANs), opened new possibilities for image generation but raised concerns about potential malicious…