Special Session Call for papers
Title:Privacy-Preserving AI for Smart Applications
Venue:Venue:Siksha 'O' Anusandhan Deemed to be University and VIT Bhopal University
Mode: Hybrid
Session Chair:
Session Chair
Dr. Muhammad Ehsan Rana,
Associate Professor, School of Computing
Asia Pacific University of Technology & Innovation, Malaysia
Email: muhd_ehsanrana@apu.edu.my
Session Co-Chair
Dr. Vazeerudeen
Assistant Professor, School of Computing
Asia Pacific University of Technology & Innovation, Malaysia
Email: vazeer@apu.edu.my
Aim:
The Special Session on Privacy-Preserving AI for Smart Applications aims to bring together researchers, academicians, industry practitioners, and policymakers to explore innovative techniques that enable intelligent systems to learn from data while preserving user privacy, security, and regulatory compliance. The session seeks to foster advancements in trustworthy AI by addressing the challenges of secure data sharing, confidential model training, and privacy-aware decision-making across smart healthcare, smart cities, IoT, finance, transportation, and other emerging digital ecosystems.
Scope:
>Homomorphic Encryption for secure AI computation
Secure Multi-Party Computation (SMPC)
Confidential Computing for AI workloads
Privacy-preserving data mining and analytics
Edge AI with privacy-aware intelligence
Secure model sharing and collaborative learning
AI for privacy-preserving smart healthcare and wearable systems
Privacy-aware intelligent transportation systems
Secure AI for smart cities and IoT ecosystems
Blockchain-enabled privacy-preserving AI