June 10th
08:30 - 09:00 (ICT)
Registration Open
09:00 - 09:15 (ICT)
Welcome from workshop organizers
09:15 - 10:15 (ICT)
Keynote Talk: Multimedia AI vs Information Disorder: A Journey of Discovery
Duc Tien Dang Nguyen (University of Bergen, Norway)
10:15 - 10:35 (ICT)
Coffee break and networking
10:35 - 11:45 (ICT)
Session 1: Evaluation of AI models
Introduction to Audio Deepfake Generation: Academic Insights for Non-Experts
Jeong-Eun Choi (Fraunhofer SIT | ATHENE), Karla Schäfer (Fraunhofer SIT | ATHENE), Sascha Zmudzinski (Fraunhofer SIT | ATHENE),
Explore the World of Audio Deepfakes: A Guide to Detection Techniques for Non-Experts
Karla Schäfer (Fraunhofer SIT | ATHENE), Jeong-Eun Choi (Fraunhofer SIT | ATHENE), Sascha Zmudzinski (Fraunhofer SIT | ATHENE),
Audio Transformer for Synthetic Speech Detection via Benford’s Law Distribution Analysis
Anitha Bhat Talagini Ashoka (Fraunhofer IDMT), Luca Cuccovillo (Fraunhofer IDMT), Patrick Aichroth (Fraunhofer IDMT).
11:45 - 12:30 (ICT)
Session 2: Synthetic Audio Generation and Detection
Whodunit: Detection and Attribution of Synthetic Images by Leveraging Model-specific Fingerprints
Alexander Wißmann (Technische Universität Berlin), Steffen Zeiler (Technische Universität Berlin), Robert M. Nickel (Bucknell University), Dorothea Kolossa (Technische Universität Berlin).
SIDBench: A Python framework for reliably assessing synthetic image detection methods
Manos Schinas (Information Technologies Institute, CERTH), Symeon Papadopoulos (Information Technologies Institute, CERTH),
12:30 - 13:30 (ICT)
Lunch break and networking
13:30 - 14:15 (ICT)
Invited Talk: From Open-Source to Primetime: The Making of an AI News Anchor and its Role in the New Landscape of Disinformation
Matyas Bohacek (Stanford University, USA)
14:15 - 15:30 (ICT)
Session 3: AI for Video and Image Analysis
Visual and audio scene classification for detecting discrepancies in video: a baseline method and experimental protocol
Konstantinos Apostolidis (Information Technologies Institute, CERTH), Jakob Abeßer (Fraunhofer IDMT), Luca Cuccovillo (Fraunhofer IDMT), Vasileios Mezaris (Information Technologies Institute, CERTH),
Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection
Konstantinos Tsigos (Information Technologies Institute, CERTH), Evlampios Apostolidis (Information Technologies Institute, CERTH), Spyridon Baxevanakis (Information Technologies Institute, CERTH), Symeon Papadopoulos (Information Technologies Institute, CERTH), Vasileios Mezaris (Information Technologies Institute, CERTH),
Improving generalization in deepfake detection via augmentation with recurrent adversarial attacks
Dan-Cristian Stanciu (Politehnica Bucharest National University for Science and Technology), Bogdan Ionescu (Politehnica Bucharest National University for Science and Technology).
15:30 - 16:00 (ICT)
Coffee break and networking
16:00 - 17:15 (ICT)
Session 4: AI for Automated Fact-Checking
Credible, Unreliable or Leaked?: Evidence verification for enhanced automated fact-checking
Zacharias Chrysidis (Department of Electrical & Computer Engineering, Aristotle University of Thessaloniki), Stefanos-Iordanis Papadopoulos (Information Technologies Institute, CERTH) Symeon Papadopoulos (Information Technologies Institute, CERTH), Panagiotis C. Petrantonakis (Department of Electrical & Computer Engineering, Aristotle University of Thessaloniki),
NewsPolyML: Multi-lingual European News Fake Assessment Dataset
Salar Mohtaj (Technische Universität Berlin, German Research Center for Artificial Intelligence), Ata Nizamoglu (Technische Universität Berlin, German Research Center for Artificial Intelligence), Premtim Sahitaj (Technische Universität Berlin, German Research Center for Artificial Intelligence), Charlott Jakob (Technische Universität Berlin, German Research Center for Artificial Intelligence), Sebastian Möller (Technische Universität Berlin, German Research Center for Artificial Intelligence), Vera Schmitt (Technische Universität Berlin, German Research Center for Artificial Intelligence),
Evaluating Human-Centered AI Explanations: Introduction of an XAI Evaluation Framework for Fact-Checking
Vera Schmitt (Technische Universität Berlin, German Research Center for Artificial Intelligence), Balázs Patrik Csomor (Technische Universität Berlin), Joachim Meyer (Tel Aviv University), Luis-Felipe Villa-Arenas (Deutsche Telekom, Technische Universität Berlin), Charlott Jakob (Technische Universität Berlin, German Research Center for Artificial Intelligence), Tim Polzehl (German Research Center for Artificial Intelligence).
17:15 - 17:30 (ICT)
Closing remarks