Fabrizio Guillaro is a Research Fellow at the University Federico II of Naples, Italy, in the Image Processing Research Group (GRIP). His main research interests center on topics in the field of multimedia forensics, with a particular emphasis on deep-learning methods for detecting and localizing forgeries in digital images. He is working under the direction of Professor Luisa Verdoliva and Professor Giovanni Poggi and his current research is being conducted in collaboration with Google Research. He interned at Google as a PhD Student Researcher from October 2023 to May 2024 in the Media Integrity team (Mint), addressing the challenge of out-of-distribution data in the context of Generative AI detection. He graduated in Computer Engineering in 2021 at University of Naples Federico II and his thesis focused on the development of a semantic-based approach for image forgery detection. He participated in the 2018 IEEE Signal Processing Cup on camera model identification, earning the first prize after presenting his team's work in the 2018 International Conference on Acoustics, Speech, & Signal Processing (ICASSP).
Work Experience
2023-2024: Ph.D. Student Researcher at Google Research
Education
2021-2024: Ph.D. in Information Technologies and Electrical Engineering, at Image Processing Research Group (GRIP) - University of Naples Federico II, Italy
2018–2021: MSc. in Computer Engineering, University of Naples Federico II, Italy
2014–2018: BSc. in Computer Engineering, University of Naples Federico II, Italy
Awards
2018: UniNa Outstanding Student
2018: Winner of the IEEE Signal Processing Cup - Prize: US$ 5.000.
2018: IEEE Forensic Camera Model Identification Challenge – 3rd place (out of 582) on Kaggle - Prize: US$ 5.000.
Projects
2021-2024: DISCOVER (a Data-driven Integrated Approach for Semantic InCOnsistencies VERification), funded by
DARPA within the SEMAFOR (Semantic Forensics) initiative
2024-present: vera.ai, a research project focusing on disinformation analysis and AI supported verification,
funded by EU’s Horizon Europe, Innovate UK, and the Swiss State SERI
Technical Program Committees
2025: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2023-2024: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2022-2024: IEEE/CVF CVPR Workshop on Multimedia Forensics
Reviewer: International Journals
2024: IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
2024: International Journal of Computer Vision (IJCV)
2023-2024: Transactions on Information Forensics and Security (TIFS)
2022: Springer’s Multimedia Systems journal
Publications
F. Guillaro, G. Zingarini, B. Usman, A. Sud, D. Cozzolino, L. Verdoliva, “A Bias-Free Training Paradigm for More General AI-generated Image Detection”, ArXiv 2024
V. De Rosa, F. Guillaro, G. Poggi, D. Cozzolino, L. Verdoliva , “Exploring the Adversarial Robustness of CLIP for AI-generated Image Detection”, in IEEE International Workshop on Information Forensics and Security (WIFS), December 2024
F. Guillaro, D. Cozzolino, G. Poggi, L. Verdoliva , “Uncertainty-driven detection and localization of image forgeries”, Chapter in CNIT Volume. Series: Signal Processing and Learning for Next Generation Multimedia, pp. 145-164, 2024
F. Guillaro, D. Cozzolino, A. Sud, N. Dufour, L. Verdoliva, “TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization”, in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 20606-20615, June 2023
H. Mareen, D. Vanden Bussche, F. Guillaro, D. Cozzolino, G. Van Wallendael, P. Lambert, L. Verdoliva, “Comprint: Image Forgery Detection and Localization using Compression Fingerprints,” in International Conference on Pattern Recognition (ICPR) workshops, August 2022
