VERIMEDIA

Call for Papers

Artificial Intelligence (AI) has profoundly impacted the creation, distribution, and consumption of digital media. However, it has also introduced significant challenges, such as the rise of deepfakes, AI-generated misinformation, and adversarial attacks. To address these pressing issues, this workshop will explore advancements in multimedia forensics, deepfake detection, adversarial machine learning, AI-generated media attribution, and multimodal analysis.

A primary focus will be on lifelong media authentication—a forward-looking approach to ensuring the integrity and trustworthiness of digital content. By analyzing diverse media types, including text, images, videos, and speech, we aim to address the critical need for reliable tools and techniques to safeguard against disinformation, support forensic investigations, mitigate cyberattacks, and uphold trust in digital communications.

This workshop is aimed at researchers from various fields, including computational intelligence (e.g., deep learning, machine learning), artificial intelligence (e.g., natural language processing, knowledge modeling, computer vision), social network analysis, and signal processing who are interested in applying their methods and techniques to the challenges of detecting and countering misinformation. Additionally, professionals, practitioners, and stakeholders active in fields like journalism, communication, fact-checking, and law enforcement will also find the discussions and outcomes of this workshop highly relevant.

We invite submissions on topics including, but not limited to:

• Multimedia Forensics: Detection and attribution of manipulated content across various media types.
• Deepfake Detection: Innovations in identifying AI-generated content.
• Adversarial Machine Learning: Challenges and solutions in combating adversarial threats.
• AI-Generated Media Attribution: Techniques for tracing and authenticating content origin.
• Lifelong Media Authentication: Long-term strategies for maintaining media integrity.
• Applications in Disinformation Detection: Case studies in forensics, fake news debunking, infodemic control, and politics.

Submission Guidelines: We welcome research papers, case studies, and position papers. Submissions should be original and not under review elsewhere. Manuscripts must follow the IJCNN rules here and should not exceed 8 pages. During the submission, authors should select as the subject area the name of the selected Workshop.