SPETViD
3rd International Workshop on Security and/or Privacy Enhancing Technologies for Multimodal Data
Workshop Chairs
- → Mamoona Asghar
- → Muhammad Umair
- → Amna Shifa
- → Nadia Kanwal
Detail SPETViD 01/04
3rd International Workshop on Security and/or Privacy Enhancing Technologies for Multimodal Data to be held in the conjunction with the 19th International Conference on Availability, Reliability and Security
Multimodal data spans text, images, audio, video, sensor streams, and increasingly AR/VR and 3D content, and its growing use in analytics and automation raises substantial security and privacy risks across the full data lifecycle. SPETViD 2026 focuses on practical and trustworthy protection of multimodal data and AI systems, covering Privacy-Enhancing Technologies (PETs), secure-by-design AI practices, provenance and integrity mechanisms, and governance approaches for domains such as smart communities, healthcare, finance, critical infrastructure, and next-generation multimedia systems. The workshop especially highlights emerging issues around multimodal foundation models, retrieval-augmented generation, deepfakes, adversarial attacks, leakage, and distributed or edge-based multimedia processing.
Topics of interest include, but are not limited to 02/04
- Secure multimodal data fusion and integration methods
- Secure storage, transmission, retrieval, and analysis of multimodal data
- Data anonymisation, pseudonymization, and encryption for varied modalities (images, videos, audio, AR/VR)
- Differential privacy
- Data minimisation approaches
- Federated and distributed analytics for privacy-preserving AI (e.g., Federated Data Analysis (FDA))
- Synthetic data generation techniques for privacy protection
- Privacy-Preserving Data Publishing (PPDP)
- Privacy evaluation metrics
- Reversible privacy-preserving techniques
- Privacy-preserving visual analytics
- Privacy-preserved tracking, activity recognition, summarization, and annotation methods
- Video and image redaction techniques
- Privacy-enhancing visual data management
- Techniques to prevent data manipulation and tampering
- Data provenance
- Visual data authentication mechanisms
- Cryptography, steganography, and blockchain-based data integrity solutions
- Zero-Knowledge Proofs (ZKP)
- Secure and verifiable computation on encrypted data
- Secure multiparty computation in distributed environments
- Security and privacy preservation in surveillance systems
- Emerging threats (deepfakes, zero-day attacks, data poisoning, adversarial attacks) on visual data
- Data quality enhancement for aerial imaging (drone visual data)
- Privacy-preserving machine learning for distributed imaging systems
- Explainable AI
- Explainable Security
- AI-based detection and mitigation of security breaches
- AI-powered AR/VR solutions for secure multimodal experiences
- Secure and trustworthy GenAI pipelines for data collection, training, deployment, and monitoring
- Retrieval-Augmented Generation (RAG) security against retrieval poisoning, prompt injection, and malicious tool use
- Sensitive-data leakage detection and prevention in GenAI systems
- AI security evaluation and benchmarking - red teaming and security-utility trade-offs
- Formal verification of ML/GenAI behaviour under adversarial and drifting conditions
- Secure LLM-based autonomous agents, including safe tool use and human-in-the-loop governance
- Trust models and zero-trust architecture
- Security for the Internet of Multimedia Things (IoMT) and smart devices
- Security and observability for distributed AI systems
- Privacy-preserving low-latency media transport and streaming (e.g., Media over QUIC / MoQ)
- Intent-based networking for security and privacy policy enforcement
- Post-quantum security and crypto-agility for long-term confidentiality and integrity
Workshop Chairs 03/04
Workshop Chairs
Mamoona Asghar
School of Computer Science & Insight Research Ireland Centre for Data Analytics, University of Galway, Ireland
Muhammad Umair
Insight Research Ireland Centre for Data Analytics, University of Galway, Ireland
Program Committee
Asra Aslam
|
University of Sheffield, United Kingdom
Muhammad Naveed Abbas
|
Insight Research Ireland Centre for Data Analytics, University of Galway, Ireland
Gazi Erkan Bostanci
|
Ankara University, Turkey
Farzana Zahid
|
University of Waikato, New Zealand
Malika Bendechache
|
University of Galway, Ireland
Muhammad Zubair
|
Interdisciplinary Research Center for Finance and Digital Economy, King Fahd University of Petroleum & Minerals - KFUPM, Saudi Arabia
Teerath Kumar
|
Atlantic Technological University, Ireland
Muhammad Tahir Naseem
|
Department of Electronic Engineering, Yeungnam University, Republic of Korea
Muhammad Samar Ansari
|
University of Chester, United Kingdom
Rónán Kennedy
|
School of Law, University of Galway, Ireland
Ifeoluwapo Aribilola
|
Insight Research Ireland Centre for Data Analytics, University of Galway, Ireland
Submission 04/04
Submission Guidelines
The submission guidelines valid for the workshop are the same as for the ARES conference.
Important Dates
Submission Deadline
May 18, 2026
Author Notification
Jun 01, 2026
Proceedings Version
Jun 13, 2026
Conference
Aug 24
—
Aug 27, 2026