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Fabrizio Guillaro

2 accepted papers

2025

A Bias-Free Training Paradigm for More General AI-generated Image Detection

CVPR 2025poster

Successful forensic detectors can produce excellent results in supervised learning benchmarks but struggle to transfer to real-world applications. We believe this limitation is largely due to inadequate training data quality. While most research focuses on developing new algorithms, less attention i…

2023

TruFor: Leveraging All-Round Clues for Trustworthy Image Forgery Detection and Localization

CVPR 2023poster

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 based on deep learning. We rely on the extraction of both high-level and low-level traces through a transformer-based fusio…