This project supports the national interest by developing a secure and trustworthy Edge Intelligence (EI) framework to advance resilient next-generation Cyber-Physical Systems (CPS). EI, the fusion of edge computing and Artificial Intelligence (AI), both highlighted by the National Science and Technology Council (NSTC), has become a cornerstone in modern CPS innovation. Research on secure EI offers practical benefits, including improved system security, enhanced service quality, and more sustainable CPS operations. However, current efforts lack a systematic co-design approach that integrates learning, sensing, and communication in EI frameworks. Furthermore, there is no unified methodology to assess and counteract heterogeneous security threats across these components in real-world CPS deployments. Addressing these gaps, this project will propose a system-level co-design strategy and its comprehensive security assessment toolbox, along with on-device security protocols evaluation. Project outcomes will directly align with the national AI R&D strategic plan, strengthening CPS security and reliability at the edge. The project pursues following research objectives: (1) advancing system-level co-design across learning, sensing, and communication components in EI frameworks for CPS, (2) developing comprehensive security assessment toolbox for EI via thoroughly investigating security threats that physically exist throughout the EI’s lifecycle in sensing (sensing data collection)