Fabrizio Guillaro
Ph.D. candidate

+39 081 76-83839
via Claudio 21, 80125 Napoli
Building 3/A, Room 4.27

Short bio

Fabrizio Guillaro is a second year PhD Student in Information Technologies and Electrical Engineering at University of Naples Federico II, Italy. His main research interests center on signal processing and deep learning techniques in the field of multimedia forensics. 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 graduated in Computer Engineering in 2021 at University of Naples Federico II. His master's thesis focuses on a semantic-based approach for the development of an image forgery detection technique, starting from an analysis of the performances of current state-of-the-art techniques based both on conventional and deep learning approaches. 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).


  • 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.


  • The Ph.D. is funded by the project DISCOVER (a Data-driven Integrated Approach for Semantic InCOnsistencies VERification). The project is coordinated by Purdue University and is funded by DARPA under the SEMAFOR program.

Technical Program Committees

  • 2022-2023: IEEE/CVF CVPR Workshop on Multimedia Forensics
  • 2023: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reviewer: International Journals

  • 2022: Springer’s Multimedia Systems journal
  • 2022: Transactions on Information Forensics and Security (RIFS)


  • 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