Research summary
Intelligent computer systems can perceive and respond to the world around them. Two examples are automated vacuums and facial recognition programs. But these systems are vulnerable to attacks, manipulation and privacy breaches. Dr. Jianbing Ni, Canada Research Chair in Intelligent System Security and Privacy, is developing tools to enhance the security and privacy of intelligent systems.
He and his research team aim to create innovative solutions that protect intelligent systems throughout the entire data lifecycle by applying principles of security, privacy, artificial intelligence (AI), networking and optimization. Their research integrates multidisciplinary methodologies from deep learning, cybersecurity, cryptography, social science and software engineering to address critical security challenges. They are also advancing techniques in data security, robust AI, generative AI security, and privacy-enhancing techniques. Ni’s research will have applications across various domains, including Industry 4.0, smart health care, robotics, surveillance, intelligent transportation, and human identification.