collaborators

5 papers

cs.CV2026

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…

cs.MA2025

Don't Guess, Escalate: Towards Explainable Uncertainty-Calibrated AI Forensic Agents

Giulia Boato, Andrea Montibeller, Edward Delp +2

AI is reshaping the landscape of multimedia forensics. We propose AI forensic agents: reliable orchestrators that select and combine forensic detectors, identify provenance and con…

cs.CV2025

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…

cs.MM2025

TrueFake: A Real World Case Dataset of Last Generation Fake Images also Shared on Social Networks

Stefano Dell'Anna, Andrea Montibeller, Giulia Boato

AI-generated synthetic media are increasingly used in real-world scenarios, often with the purpose of spreading misinformation and propaganda through social media platforms, where…

cs.MM2025

WILD: a new in-the-Wild Image Linkage Dataset for synthetic image attribution

Pietro Bongini, Sara Mandelli, Andrea Montibeller +14

Synthetic image source attribution is an open challenge, with an increasing number of image generators being released yearly. The complexity and the sheer number of available gener…