12 citations · 14 across the 8 of their papers we have counts for
5 papers · 1 filter
Backbone is All You Need: Assessing Vulnerabilities of Frozen Foundation Models in Synthetic Image Forensics
Chiara Musso, Joy Battocchio, Andrea Montibeller +1
As AI-generated synthetic images become increasingly realistic, Vision Transformers (ViTs) have emerged as a cornerstone of modern deepfake detection. However, the prevailing relia…
Advance Fake Video Detection via Vision Transformers
Joy Battocchio, Stefano Dell'Anna, Andrea Montibeller +1
Recent advancements in AI-based multimedia generation have enabled the creation of hyper-realistic images and videos, raising concerns about their potential use in spreading misinf…
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…
An Adaptive Method for Camera Attribution under Complex Radial Distortion Corrections
Andrea Montibeller, Fernando Pérez-González
Radial correction distortion, applied by in-camera or out-camera software/firmware alters the supporting grid of the image so as to hamper PRNU-based camera attribution. Existing s…
GPU-accelerated SIFT-aided source identification of stabilized videos
Andrea Montibeller, Cecilia Pasquini, Giulia Boato +2
Video stabilization is an in-camera processing commonly applied by modern acquisition devices. While significantly improving the visual quality of the resulting videos, it has been…