Training Description
Key Takeaways
- Specialized workshop on security and privacy for multimodal data
- Focus on privacy-enhancing technologies and secure AI practices
- Addresses risks in text, images, audio, video, AR/VR, and 3D content
- Targets researchers and professionals in cybersecurity, AI, and data privacy
- Emphasizes trustworthy protection and emerging security challenges
The 3rd International Workshop on Security and/or Privacy Enhancing Technologies for Multimodal Data (SPETViD) is an academic event held alongside the 21st International Conference on Availability, Reliability and Security (ARES 2026) in Linköping, Sweden. This workshop is dedicated to advancing the practical and trustworthy protection of multimodal data throughout its lifecycle, addressing the growing security and privacy risks associated with modern analytics and automation.
Workshop Focus and Themes
SPETViD 2026 brings together experts to discuss privacy-enhancing technologies, secure-by-design AI, and robust data governance. The workshop covers a wide range of topics, including secure multimodal data fusion, storage, transmission, and analysis. Participants explore methods such as data anonymisation, encryption, differential privacy, federated analytics, and synthetic data generation.
Special attention is given to emerging issues like deepfakes, adversarial attacks, data leakage, and the security of distributed or edge-based multimedia processing. The event also highlights the importance of data provenance, authentication, cryptography, blockchain, zero-knowledge proofs, and post-quantum security in safeguarding sensitive information.
Target Audience and Relevance
This workshop is designed for academic researchers, industry practitioners, and professionals in cybersecurity, data privacy, AI, and multimedia systems. Attendees typically include security engineers, data scientists, AI researchers, privacy officers, and IT managers from sectors such as healthcare, finance, smart infrastructure, and critical systems.
SPETViD addresses the pressing need to secure multimodal data and protect privacy in AI-driven environments. By fostering discussions on trustworthy AI, data integrity, and risk mitigation, the event supports the development of reliable solutions for sensitive domains.
Event Format and Experience
The workshop is organized by SBA Research and takes place in person as part of the ARES 2026 conference. The format is academic and technical, featuring paper submissions, presentations, and interactive discussions. The event prioritizes education, thought leadership, and community building within the field of security and privacy for multimodal data.
Recurring themes include practical and trustworthy protection, privacy-enhancing technologies, secure-by-design AI, and addressing security and privacy risks across the full data lifecycle. The workshop serves as a platform for advancing research and fostering collaboration among experts in the field.