Cecilia Pasquini is a researcher with the Security & Trust research unit of Fondazione Bruno Kessler. Prior to that, she has been a researcher at the Media Lab with the University of Trento (2020-2022) and a postdoctoral fellow at the Privacy and Security Lab with the University of Innsbruck, Austria (2016-2019). She received her MSc in Mathematics from the University of Ferrara in 2012 and her Ph.D. in Information and Communication Technology from the University of Trento in 2016.
Her research interests lie at the intersection of information security and media processing, including topics related to image/video forensics and security, face-based biometric identification, AI-generated media detection and adversarial machine learning. She is currently working on the security and risk assessment of fully remote identity proofing and enrollment for digital identity systems.
Publications
2025
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Cecilia Pasquini, Marco Pernpruner, Giada Sciarretta, Silvio Ranise
Towards a Fine-Grained Threat Model for Video-Based Remote Identity Proofing
In: Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Communications in Computer and Information Science, volume 2134 (DOI, news)
2024
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Marco Pernpruner, Cecilia Pasquini, Giada Sciarretta, Silvio Ranise
Beyond Screens: Investigating Identity Proofing for the Metaverse Through Cross-Device Flows
In: 2nd International Conference on Intelligent Metaverse Technologies & Applications (iMETA2024) (DOI, news)
Supervised Theses
2024
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Riccardo Ziglio (Master's Thesis, University of Trento, 2024)
Challenge-Based Liveness Detection vs Video Manipulation: Analysis of Face Swaps Attacks in Remote Identity Proofing Scenarios
Supervisor: Silvio Ranise |
Co-supervisor: Cecilia Pasquini
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Kaleem Ullah Kaleem Ullah (Master's Thesis, University of Trento, 2024)
Countering Rebroadcast Attacks Against Remote Identity Proofing
Supervisor: Silvio Ranise |
Co-supervisor: Cecilia Pasquini
2023
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Roberta Peracchio (Master's Thesis, University of Trento, 2023)
Exploring Digital Travel Credentials: A Comparative Study of Existing Solutions and Image Quality Assessment for Face Recognition
Supervisor: Silvio Ranise |
Co-supervisors: Tahir Ahmad, Cecilia Pasquini
