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Keynote Speakers

Annalisa Verdoliva (University Federico II of Naples, Italy)

Deepfake detection: state-of-the-art and future directions


In recent years there have been astonishing advances in AI-based synthetic media generation. Thanks to deep learning-based approaches it is now possible to generate data with a high level of realism. While this opens up new opportunities for the entertainment industry, it simultaneously undermines the reliability of multimedia content and supports the spread of false or manipulated information on the Internet. This is especially true for human faces, allowing to easily create new identities or change only some specific attributes of a real face in a video, so-called deepfakes. In this context, it is important to develop automated tools to detect manipulated media in a reliable and timely manner. This talk will describe the most reliable deep learning-based approaches for detecting deepfakes, with a focus on those that enable domain generalization. The results will be presented on challenging datasets with reference to realistic scenarios, such as the dissemination of manipulated images and videos on social networks. Finally, new possible directions will be outlined.


Luisa Verdoliva is Associate Professor at University Federico II of Naples, Italy, where she leads the Multimedia Forensics Lab. In 2018 she has been visiting professor at Friedrich-Alexander-University (FAU) and in 2019-2020 she has been visiting scientist at Google AI in San Francisco. Her scientific interests are in the field of image and video processing, with main contributions in the area of multimedia forensics. She has published over 120 academic publications, including 45 journal papers. She is the PI for University Federico II of Naples in the DISCOVER (a Data-driven Integrated Approach for Semantic Inconsistencies Verification) project funded by DARPA under the SEMAFOR program (2020-2024). She has actively contributed to the academic community through service as technical Chair of the 2019 IEEE Workshop in Information Forensics and Security and the 2021 ACM Workshop on Information Hiding and Multimedia Security, area Chair of IEEE ICIP since 2017. She has been also co-Chair of the IEEE CVPR Media Forensics Workshop both in 2020 and 2021. She is on the Editorial Board of IEEE Transactions on Information Forensics and Security and IEEE Signal Processing Letters and has been Guest Editor for IEEE Journal of Selected Topics in Signal Processing. Dr. Verdoliva is Chair of the IEEE Information Forensics and Security Technical Committee and vice-Chair of the EURASIP Signal and Data Analytics for Machine Learning Special Area Teams. She is the recipient of the 2018 Google Faculty Award for Machine Perception and a TUM-IAS Hans Fischer Senior Fellowship (2020-2023). She has been elected to the grade of IEEE Fellow since January 2021.

Claude Bauzou (Idemia, France)

Document validation and fraud detection


This talk will explain how, in the context of the iMARS research funded project, a group of industrial actors are working together to find innovative solutions to detect ID document fraud using mobile platforms.

The presentation will explain the work carried out, and the different approaches considered, and will also consider the benefit for industrial partners to work together in the same project.


Claude Bauzou graduated from Ecole des Mines de Paris and has a PHD from Université d’Osay, 1983. After being a researcher on fingerprint matching (in its early days), she was involved in business development and product management in Morpho then Idemia. She is now in the innovation lab of Idemia, managing and creating research funded projects

Uwe Seidel (Bundeskriminalamt, Germany)

Recent developments and challenges for the identity (document) ecosystem


Identity and especially identity documents are subject to a rapid technological change: the introduction of biometrics and the megatrend of digitization lead to new convenient solutions and facilitating use cases such as Digital Travel Credentials, but will the security of the application and data keep abreast with the new possibilities?


Dr. Uwe Seidel received his Ph.D. degree in experimental physics and optics from the University of Jena, Germany. After some years in industry, he joined the Forensic Science Institute of the German Federal Criminal Police Office (Bundeskriminalamt) as an ID document expert in 2000 and is now heading the BKA’s IT Forensics and Document section. This assignment also involves overseeing R&D projects for increasing the counterfeit resistance of German official documents. Since 2019, he is the chairman of ICAO's New Technology Working Group and Germany’s Alternate Member for the ICAO Technical Advisory Group TAG/TRIP.