18/09/2023 - 17/09/2026
Il progetto ha l'obiettivo di studiare e realizzare applicazioni cooperative, su piattaforma C-ITS ETSI che riescano a ridurre le situazioni di rischio durante la mobilità. La piattaforma offrirà, attraverso tecnologie di intelligenza artificiale, data analytics, video & audio processing per l’object detection, l’edge computing, il routing intelligente degli eventi:
1- Strumenti real & near-real-time per il monitoraggio dinamico e predittivo della mobilità e degli elementi infrastrutturali ad essa collegati sulla base dei dati provenienti dal territorio, inclusi quelli della segnaletica statica digitalizzata, utilizzando flussi GNSS e di sistemi video eterogenei (fonti video tradizionali e sensori mmwave).
2- Strumenti di real & near-real-time detection e notifica di situazioni quali guida pericolosa, comportamento anomalo del veicolo sulla base traiettoria, insieme con la gestione di eventi quali incidenti, infrastrutture non disponibili causa eventi naturali.
3- Strumenti di simulazione in grado di fornire supporto alla pianificazione di interventi finalizzati a preservare e migliorare aspetti quantitativi e qualitativi della mobilità e per la programmazione e gestione del trasporto multimodale integrato.
Soggetto CAPOFILA: VODAFONE AUTOMOTIVE ITALIA SPA
Soggetti co-proponenti: SAPIENZA UNIVERSITA' DI ROMA, POLITECNICO DI MILANO, SMART-I SRL
Fondo per la Crescita Sostenibile - Accordi per l'innovazione nel settore automotive - D.M. 31 dicembre 2021 e D.D. 10 ottobre 2022, Ministero delle Imprese e del Made in Italy (MIMIT)
Detection of Deep Fake Media and Life-Long Media Authentication
01/01/2023 - 31/12/2025
The creation-diffusion of fake multimedia content, whether entirely computer-synthesized or obtained by manipulating original content, can be considered a danger to many aspects of our society. The overall phenomenon has reached unprecedented levels, thanks to the availability of artificial intelligence tools dedicated to generating fake content almost indistinguishable from real ones in a relatively simple way. Fighting so-called deepfakes, videos, images and audio clips, generated with deep learning techniques, requires the development of appropriate countermeasures. The project aims to develop theoretical and practical tools to detect fake or counterfeited content, trace back to its origin, and limit its diffusion, through passive analysis techniques operating when the content is used or diffused, and active protection methods to be adopted at the time of content creation, to facilitate subsequent authentication.
Partners: Scuola IMT Alti Studi Lucca, Università degli Studi di Cagliari, Sapienza Università di Roma, CNIT, ENI
SERICS (PE00000014) under the MUR National Recovery and Resilience Plan funded by the European Union - NextGenerationEU
26/06/2023 - 26/06/2024
Development of a Sandbox for security and robustness assessment of DL models that enables :
Validation by calculating the robustness of the model through security level assessment (DL network tested with increasing levels of perturbation of the adversarial attacks)
Investigation of model vulnerabilities
Mitigation through measures to be taken to harden the analyzed model
PNRM Project funded by NAVARM, partner Telsy SpA
Special session on "Artificial Intelligence for Countering Disinformation and Information warfare" at the International Joint Conference on Neural Networks (IJCNN) 2022. In conjunction with IEEE World Congress on Computational Intelligence (WCCI) 2022
Here the link: https://sites.google.com/diag.uniroma1.it/ai4cdiw/home
Dagstuhl Seminar on "Media Forensics and the Challenge of Big Data", January 2023.
IEEE SPS ME-UYR (Mentoring Experiences for Underrepresented Young Researchers) 2021-2022
Women at ICPR (W4PR) workshop in conjuction with ICPR 2020 in Milan, September 2020 (postponed to January 2021 due to COVID-19)
Women In Computer Vision Workshop (WiCV) in conjuction with ECCV 2020 in Glasgow, August 2020.
Technical Program Chair 8th ACM Workshop on Information Hiding and Multimedia Security IH&MMsec 2020 Denver, June 2020, Workshop on Information Forensics and Security 2023.
Area Chair of Winter Conference on Applications of Computer Vision WACV 2021
In 2019 I co-organized the Women In Computer Vision Workshop (WiCV) at CVPR 2019 in Long Beach, California
SPECIAL ISSUES:
Special issue on "Advances in Disinformation Detection and Media Forensics (A2DMF)" hosted in Pattern Recognition Letters. https://www.sciencedirect.com/journal/pattern-recognition-letters/about/call-for-papers#advances-in-disinformation-detection-and-media-forensics-a2dmf The deadline for submission is 20 June 2023.
Guest editor Special Issue: “Facing emerging challenges in multimedia forensics” in EURASIP Journal on Information Security, Submission deadline: 31 July 2020 [call for paper]
Guest editor Special Issue: "Image and Video Forensics" Journal of Imagin MDPI, deadline: 31 May 2021 [call for paper]
ASSOCIATE EDITOR:
Journal of Information Security and Applications (JISA Elsevier), IEEE Access, Journal of Electronic Imaging
IAPR TC6 - Computational Forensics Committee https://iapr.org/committees/computational-forensics
IEEE Information Forensics and Security Technical Committee (IEEE IFS-TC)
EURASIP Technical Area Committee (TAC) on Biometrics, Data Forensics, and Security (BForSec)
Women in Computer Vision (WiCV) group
Centro di Ricerca Cyber Intelligence and Information Security (CIS), Sapienza University of Rome, Italy
Invited speaker at the Weaponized Information Summit on 4 December 2018 in Tampa, Florida presenting “Strategies for Countering Fake Information: New Trends in Multimedia Authenticity Verification and Source Identification”.
The event was organized by SOFWERX, in collaboration with the US Special Operations command/J5 Donovan Group.
Invited speaker at the European Legal Security Forum on weaponized information 2 July 2019, London.
Seminars and Invited Talks:
“AI sandboxing for security testing: the ArIS project” at EDA AI ACTION PLAN Workshop on Trustworthiness and Standardisation for AI in Defense, 7 Sep 23
University of Warwick June 2023: Advances in multimedia forensics to counter misinformation
Jan 2022: Media forensics and the challenge of Deepfake” at TWO WEEK INTERNATIONAL WINTER SCHOOL ON CYBER SECURITY AND THREAT INTELLIGENCE (ONLINE) as part of Golden Jubilee Celebrations of Cochin University of Science and Technology (CUSAT), organized by Cyber Intelligence Research Laboratory, Department of Computer Applications, CUSAT.
2021: “Multimedia Forensics and Deepfake Detection” at “Seminars in Engineering in Computer Science” course Master in EngCS and "Media Forensics and the challenge of Deepfakes in a social media context” at “Cybersecurity Seminars” course Master in Cybersecurity,
November 2020: “Media Forensics and the challenge of Deepfakes in a social media context”, University of Padua - Dep. of Mathematics, Italy.
October 2019: “Strategies for Countering Fake Information”, University of Padua - Dep. of Mathematics, Italy.
I'm Associate Professor at DIAG, the Department of Computer, Control and Management Engineering of Sapienza University of Rome where I'm leading the ALCORLab Multimedia Forensics Research Team.
Previously I was a Researcher (RTDB) at DIAG and a Postdoctoral Researcher at MICC Media Integration and Communication Center, University of Florence where I received the Ph.D. in computer engineering in 2010.
In 2018 I obtained a Visiting Research Fellowship at Charles Sturt University (Australia) offered by the Australian Government – Department of Education and Training through the Endeavour Scholarship & Fellowship program.
In 2010 I spent part of my PhD course at the Digital Data Embedding Laboratory, Department of Electrical and Computer Engineering, Binghamton University (US).