Prof. Michał Choraś
Bydgoszcz University of Science and Technology
Poland
chorasm@pbs.edu.pl

Prof. Adrianna Kozierkiewicz
Wroclaw University of Science and Technology
Poland
adrianna.kozierkiewicz@pwr.wroc.pl

Prof. Rafał Kozik
Bydgoszcz University of Science and Technology
Poland
rkozik@pbs.edu.pl

Prof. Wojciech Mazurczyk
Warsaw University of Science and Technology
Poland
wojciech.mazurczyk@pw.edu.pl

Dr Marcin Pietranik
Wroclaw University of Science and Technology
Poland
marcin.pietranik@pwr.wroc.pl

Dr Marek Pawlicki
Bydgoszcz University of Science and Technology
Poland
marek.pawlicki@pbs.edu.pl

One of the greatest challenges and even requirements for computational intelligence methods is to enable countering threats to societies using modern communication channels and everyday life tools. With the enormous proliferation of current technologies, namely computer networks, social media, artificial intelligence etc. within societies, also many threats and dangers became reality. Therefore, we search for the AI and computational intelligence solutions to protect social media, networks, information channels as well AI-based systems (e.g. from adversarial attacks).

The scope of the session includes, but is not limited to, the following topics:

• Methods to protect computer networks: detection, prevention and intrusion tolerance
• AI for cyber security and networks dependability
• Methods to protect AI-based systems from adversarial attacks
• Methods for disinformation and fake news detection
• Explainable AI methods applied in security
• Cybersecurity, cyberthreats, cyber-crime
• NLP and LLM in various applications
• Detection of malware, stegomalware, ransomware
• Cyberattacks detection
• Societal aspects of disinformation
• Computational intelligence in homeland security, cyberwar, etc.
• Methods for reliable networks and information
• Methods for reaction and remediation
• Certification and compliance
• Ethical and legal and societal aspects of computational intelligence in security
• Description of use cases and real scenarios as well as lessons learnt