Massimo Iuliani
Research Fellow

Room

In 2017, Massimo achieved a Ph.D. in Mathematics focused on image and video authentication topics. He participated in several research projects, funded by the EU and by DARPA (Defense Advanced Research Projects Agency). He authored or co-authored over twenty journal papers and conference proceedings on multimedia forensics topics. All projects were related to the authentication and reverse engineering of multimedia content. He is a co-author of more than 20 papers in peer-reviewed journals and conferences related to multimedia forensics and image security. Since 2012 he has been a member of FORLAB, the Multimedia Forensics Laboratory at PIN scrl (University of Florence), through which he provided expert witness testimony on several forensic cases involving digital images and videos.

Publications

  • Giulia Bertazzini, Daniele Baracchi, Dasara Shullani, Massimo Iuliani, and Alessandro Piva, "CoFFEE: a codec-based forensic feature extraction and evaluation software for H.264 videos.", EURASIP JIS, 2024
  • Daniele Baracchi, Giulia Boato, Francesco De Natale, Massimo Iuliani, Andrea Montibeller, Cecilia Pasquini, Alessandro Piva, and Dasara Shullani, "Towards open-world multimedia forensics through media signature encoding", IEEE Access, 2024
  • Giulia Bertazzini, Daniele Baracchi, Dasara Shullani, Massimo Iuliani, and Alessandro Piva, "A Codec-Based Approach for Video Life-Cycle Characterization in Social Networks.", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
  • Daniele Baracchi, Dasara Shullani, Massimo Iuliani, Damiano Giani, and Alessandro Piva, "Uncovering the authorship: Linking media content to social user profiles.", Pattern Recognition Letters, 2024
  • Daniele Baracchi, Dasara Shullani, Massimo Iuliani, and Alessandro Piva, "FloreView: An Image and Video Dataset for Forensic Analysis.", IEEE Access, 2023
  • Pasquale Ferrara, Massimo Iuliani, and Alessandro Piva, "PRNU-Based Video Source Attribution: Which Frames Are You Using?", Journal of Imaging, 2022
  • Dasara Shullani, Daniele Baracchi, Massimo Iuliani, and Alessandro Piva, "Social Network Identification of Laundered Videos Based on DCT Coefficient Analysis.", IEEE Signal Processing Letters, 2022
  • Chiara Albisani, Massimo Iuliani, and Alessandro Piva, "Checking PRNU Usability on Modern Devices.", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
  • Daniele Baracchi, Dasara Shullani, Massimo Iuliani, Damiano Giani, and Alessandro Piva, "Camera Obscura: Exploiting in-camera processing for image counter forensics.", Forensic Science International: Digital Investigation, 2021
  • Massimo Iuliani, Marco Fontani, and Alessandro Piva, "A Leak in PRNU Based Source Identification - Questioning Fingerprint Uniqueness.", IEEE Access, 2021
  • Sara Mandelli, Fabrizio Argenti, Paolo Bestagini, Massimo Iuliani, Alessandro Piva, and Stefano Tubaro, "A Modified Fourier-Mellin Approach For Source Device Identification On Stabilized Videos.", ICIP, 2020
  • Daniele Baracchi, Massimo Iuliani, Andrea G. Nencini, and Alessandro Piva, "Facing Image Source Attribution on iPhone X.", IWDW, 2020
  • Marco Fanfani, Massimo Iuliani, Fabio Bellavia, Carlo Colombo, and Alessandro Piva, "A vision-based fully automated approach to robust image cropping detection.", Signal Processing: Image Communication, 2020
  • Pengpeng Yang, Daniele Baracchi, Massimo Iuliani, Dasara Shullani, Rongrong Ni, Yao Zhao, and Alessandro Piva, "Efficient Video Integrity Analysis Through Container Characterization.", IEEE Journal of Selected Topics in Signal Processing, 2020
  • Marco Fanfani, Fabio Bellavia, Massimo Iuliani, Alessandro Piva, and Carlo Colombo, "FISH: Face intensity-shape histogram representation for automatic face splicing detection.", Journal of Visual Communication and Image Representation, 2019
  • Fabio Bellavia, Massimo Iuliani, Marco Fanfani, Carlo Colombo, and Alessandro Piva, "Prnu Pattern Alignment for Images and Videos Based on Scene Content.", ICIP, 2019
  • Massimo Iuliani, Dasara Shullani, Marco Fontani, Saverio Meucci, and Alessandro Piva, "A Video Forensic Framework for the Unsupervised Analysis of MP4-Like File Container.", IEEE Transactions on Information Forensics and Security, 2019
  • Massimo Iuliani, Marco Fontani, Dasara Shullani, and Alessandro Piva, "Hybrid reference-based Video Source Identification.", Sensors, 2019
  • Dasara Shullani, Marco Fontani, Massimo Iuliani, Omar Al Shaya, and Alessandro Piva, "VISION: a video and image dataset for source identification.", EURASIP Journal on Information Security, 2017
  • Massimo Iuliani, Marco Fanfani, Carlo Colombo, and Alessandro Piva, "Reliability assessment of principal point estimates for forensic applications.", Journal of Visual Communication and Image Representation, 2017
  • Victor Schetinger, Massimo Iuliani, Alessandro Piva, and Manuel M. Oliveira, "Image forgery detection confronts image composition.", Computers & Graphics, 2017
  • Dasara Shullani, Omar Al Shaya, Massimo Iuliani, Marco Fontani, and Alessandro Piva, "A Dataset for Forensic Analysis of Videos in the Wild.", TIWDC, 2017
  • Massimo Iuliani, Giovanni Fabbri, and Alessandro Piva, "Image splicing detection based on general perspective constraints.", WIFS, 2015
  • Alessia De Rosa, Alessandro Piva, Marco Fontani, and Massimo Iuliani, "Investigating multimedia contents.", ICCST, 2014
  • Massimo Iuliani, Simone Rossetto, Tiziano Bianchi, Alessia De Rosa, Alessandro Piva, and Mauro Barni, "Image counter-forensics based on feature injection.", Media Watermarking, Security, and Forensics, 2014