The RoboInsight (formerly AutoInsight) project utilizes advanced techniques in software security, control system modeling, and system replay to develop a new security analysis platform for modern robotic and autonomous systems, including robotic arms, mobile robots, and autonomous vehicles.

The AI Vault project designs and develops new trusted execution environments tailored to run artificial intelligence and machine learning programs confidentially on modern AI platforms end-to-end, including cloud, edge and embedded devices.

Robotic vehicles (also known as drones) are facing various threats of cyber-physical attacks that exploit their security vulnerabilities. RetroV develops automated analysis tools to find such vulnerabilities in existing robotic vehicle systems and retrofit their design against advanced cyber-physical attacks.

The CLUE project develops an infrastructure to detect and diagnose system anomalies in enterprise and cloud systems. These anomalies include stealthy malware and other types of hidden system anomalies. CLUE provides a diverse set of tools to find and understand such anomalies with minimal disruption to the target system.

The PeriShield project analyzes the security of various types of peripheral devices and it develops cutting-edge tools to detect/prevent malicious peripherals.