5 citations · 8 across the 5 of their papers we have counts for
5 papers
Quality-Aware Calibration for AI-Generated Image Detection in the Wild
Fabrizio Guillaro, Vincenzo De Rosa, Davide Cozzolino +1
Significant progress has been made in detecting synthetic images, however most existing approaches operate on a single image instance and overlook a key characteristic of real-worl…
A Bias-Free Training Paradigm for More General AI-generated Image Detection
Fabrizio Guillaro, Giada Zingarini, Ben Usman +3
Successful forensic detectors can produce excellent results in supervised learning benchmarks but struggle to transfer to real-world applications. We believe this limitation is lar…
Exploring the Adversarial Robustness of CLIP for AI-generated Image Detection
Vincenzo De Rosa, Fabrizio Guillaro, Giovanni Poggi +2
In recent years, many forensic detectors have been proposed to detect AI-generated images and prevent their use for malicious purposes. Convolutional neural networks (CNNs) have lo…
TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization
Fabrizio Guillaro, Davide Cozzolino, Avneesh Sud +2
In this paper we present TruFor, a forensic framework that can be applied to a large variety of image manipulation methods, from classic cheapfakes to more recent manipulations bas…
Comprint: Image Forgery Detection and Localization using Compression Fingerprints
Hannes Mareen, Dante Vanden Bussche, Fabrizio Guillaro +4
Manipulation tools that realistically edit images are widely available, making it easy for anyone to create and spread misinformation. In an attempt to fight fake news, forgery det…