The workshop on Computational methods for emerging problems in disinformation analysis DISA@ESORICS is organized during the 29th European Symposium on Research in Computer Security (ESORICS) 2024 in Bydgoszcz, Poland.

The session will be technically endorsement by IEEE SMC TC on Big Data Computing as well by Lifelong Machine Learning on Data Stream and SWAROG projects.

About

Information analysis is nowadays crucial for societies, single citizens in their everyday life (e.g., while traveling, shopping, browsing, communication, etc.), as well for businesses and the overall economy. The right to be informed is one of the fundamental requirements for making the right decisions on a small and large scale (e.g., elections). However, information spreading can also be used for disinformation. The problem of fake news publication is not new, and it already has been reported in ancient ages, but it has started having a huge impact, especially on social media users or people watching media news (Internet, newspapers, TV, etc.). Such false information should be detected as soon as possible to avoid its negative influence on the readers and, in some cases, their decisions.

Topics of interest

The main aim of this workshop is to bring together researchers and scientists who are pioneering (dis-)information analysis methods to discuss problems and solutions in this area, identify new issues, and shape future research directions. We particulary invite works focuses on:

• computational methods for (dis-) information analysis, especially in heterogenous types of data (images, text, tweets etc.)
• detection of fake news detection in social media
• images and video manipulation recognition
• architectural frameworks and design for (dis-)information detection
• aspects of explainability of information analysis systems and methods (including explainability of ML)
• adversarial attacks on information analysis
• explainability of deep learning
• learning how to detect the fake news in the presence of concept drift
• learning how to detect the fake news with limited ground truth access and on the basis of limited data sets, including one-shot learning
• proposing how to compare and benchmark the fake news detectors
• case studies and real-world applications
• human rights, legal and societal aspects of (dis-)information detection, including data protection and GDPR in practice

Key dates

Workshop chairs

• Prof. Michał Choraś, Bydgoszcz University of Science and Technology, Poland e-mail: michal.choras@pbs.edu.pl
• Prof. Rafał Kozik, Bydgoszcz University of Science and Technology, Poland e-mail: rkozik@pbs.edu.pl
• Prof. Paweł Ksieniewicz, Wrocław University of Science and Technology, Poland, e-mail: pawel.ksieniewicz@pwr.edu.pl
• Prof. Michał Woźniak, Wroclaw University of Science and Technology, Poland e-mail: michal.wozniak@pwr.edu.pl

Program committee

• Evgenia F. Adamopoulou, ICCS, NTUA, Greece
• Tomasz Andrysiak, Bydgoszcz University of Science and Technology, Poland
• Łukasz Apiecionek, Kazimierz Wielki University, Bydgoszcz, Poland
• Stan Assier, QWANT, France
• Sebastian Basterrech, VSB-Technical University of Ostrava, Czech Republic
• Robert Burduk, Wroclaw University of Science and Technology, Poland
• Krzysztof Cabaj, Warsaw University of Technology, Poland
• Konstantinos Demestichas, ICCS, NTUA, Greece
• Agata Gielczyk, Bydgoszcz University of Science and Technology, Poland
• Manuel Grana, University of the Basque Country, Spain
• Álvaro Herrero, University of Burgos, Spain
• Dagmara Jaroszewska-Choras, Kazimierz Wielki University, Bydgoszcz
• Iulia Lazar, Infocons, Romania
• Wojciech Mazurczyk, Warsaw University of Technology, Poland
• David Megias, UoC, Barcelona, Spain
• Marek Pawlicki, Bydgoszcz University of Science and Technology, Poland
• Jan Platoš, VSB-Technical University of Ostrava, Czech Republic
• Mariusz Topolski, Wroclaw University of Science and Technology, Poland
• Giulia Venturi, Z&P, Italy
• Paweł Zyblewski, Wroclaw University of Science and Technology, Poland

Conference program

10:45 - 12:15

• Session Opening (prof. Michał Choraś and prof. Rafał Kozik) (10 minutes)
• Fake News/Disinformation detection research at PBS: SocialTruth SWAROG projects (prof. Michał Choraś) (20 minutes)
• Keynote Presentation (dr Marek Pawlicki) (30 minutes)
• Q&A

12:15 - 13:45 Lunch Break

13:45 - 15:15

• Janusz Bobulski and Mariusz Kubanek “Recognition of Remakes and Fake Facial Images”
• Marek Pawlicki, Federica Uccello, Salvatore D'Antonio, Rafal Kozik and Michal Choras “A Novel Method of Improving Intrusion Detection Systems Robustness Against Adversarial Attacks, through Feature Omission and a Committee of Classifiers”
• Sebastian Szelest, Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik and Michał Choraś “Proposition of a Novel Type of Attacks Targeting Explainable AI Algorithms in Cybersecurity”
• Mateusz Walczak and Aneta Poniszewska-Maranda “Data structures towards the recognition of fake news and disinformation written in Polish”