Alfred Chen
About
Chen’s research interest broadly lies in the security and privacy of computer technologies that are of high criticality to our daily life and society. So far, his focus has been mainly on the security/privacy issues in emerging AI/systems/network technologies, especially the latest ones with high societal impacts such as those powering the emerging AI-enabled autonomous vehicles and intelligent transportation systems. The major theme of Chen’s research is to proactively address security challenges through systematic problem analysis and design, leveraging techniques such as optimization, static/dynamic program analysis, formal methods, defense principles, and data-driven methods. His research has developed such approaches to systematically discover, analyze, detect, and fix security vulnerabilities in a wide range of important computer systems and components such as the AI/software stack in emerging autonomous cars/drones/robots, intelligent traffic light, smartphone systems, critical network protocols (e.g., TCP), DNS, GUI systems, access control systems, etc
Research Performance Summary
First Recorded Paper
CBF: a packet filtering method for DDoS attack defense in cloud environment
Year: 2011
Citations: 114
Venue: 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure
Latest Recorded Paper
A Survey of Security Challenges and Solutions for UAS Traffic Management (UTM) and Small Unmanned Aerial Systems (sUAS)
Year: 2026
Citations: 0
Venue: AIAA SCITECH 2026 Forum
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.