Building a secure and privacy-preserving ecosystem to protect intelligent systems: this research will enhance the design theory of security and privacy impacting industries across smart healthcare, robotics, surveillance, intelligent transportation, and human identification.
![[Jianbing Ni]](/vpr/sites/vprwww/files/uploaded_images/researchers/Ni-Jianbing-700x700.jpg)
Tier 2
Securing data privacy and protection
As intelligent systems become increasingly integrated into daily life, they also face growing security risks. Dr. Jianbing Ni, Canada Research Chair in Intelligent System Security and Privacy, is leading research to secure these systems against threats such as data leakage, tampering, and adversarial attacks. His work includes developing cutting-edge techniques for secure data gathering, privacy-preserving AI model usage, and AI-generated content protection. By integrating methodologies in deep learning, cybersecurity, cryptography, and social science, this research addresses the critical challenges of data security and privacy for emerging technologies across multiple sectors.
Recognizing the interdisciplinary nature of security challenges, Dr. Ni鈥檚 research fosters collaboration between academia, industry, and policymakers. His work not only advances fundamental knowledge but also contributes to real-world applications that enhance security in an era of rapid technological growth. Dr. Ni鈥檚 approach inverts traditional security models, ensuring that privacy and protection are incorporated into intelligent systems at the outset rather than retrofitted later. By taking a proactive, multi-disciplinary approach, his research strengthens the resilience of intelligent systems, safeguarding sensitive data and enhancing public trust in AI-driven technologies.