|2023.09.22(금) 세미나 - Alfred Chen|
전기및전자공학부 김용대교수연구실에서는 아래와 같이 세미나를 개최하고자 하오니 많은 관심과 참여 부탁드립니다. Alfred는 자동차 보안 분야에서 세계에서 가장 많은 논문을 쓴 친구입니다.
o Date: 2023년 9월 22일(금) 11:00~12:00
o Location: N1 김병호김상열 IT 융합빌딩 111호
o Speaker: Alfred Chen (Assistant professor, Univ. of California, Irvine)
♣ Title: On the Cyber-Physical Security of Emerging AI-Enabled Autonomous Cyber-Physical Systems
Recent years have witnessed a global phenomenon in the real-world development, testing, and commercialization of AI-enabled autonomous Cyber-Physical Systems (CPSs) such as autonomous driving cars, drones, and robots. These systems are rapidly revolutionizing nearly every industry today, ranging from transportation, retail, and logistics (e.g., robo-taxi, autonomous truck, delivery drones/robots), to domotics, manufacturing, construction, and healthcare. Compared to traditional computer systems, these emerging systems have unprecedented capabilities to sense and impact the physical world, which makes their security, safety, and trustworthiness of paramount importance to individuals, technology providers, and also policy-makers.
Over the past few years, my group has been actively studying and developing the security research space of Autonomous Driving (AD) systems and intelligent transportation systems in general, with a focus on their autonomous AI, systems, and networking stacks. Specifically, we performed the first security analysis and/or defense designs on a wide range of critical AI components in industry-grade AD systems such as 3D perception, sensor fusion, lane detection, localization, prediction, and planning; first to develop formal verification methods for cooperative AD protocols and traffic-rule conformation; first to characterize AD software bugs; and first to study security of USDOT’s V2X (Vehicle-to-Everything) based intelligent traffic light. In this talk, I will talk about our journey so far, with highlights of representative findings, insights, and takeaways.
I am an Assistant Professor in the Department of Computer Science (CS) at the University of California, Irvine. I am also affiliated with the Department of Electrical Engineering and Computer Science (EECS), the Institute of Transportation Studies at UC Irvine (ITS-Irvine), the Center for Embedded and Cyber-physical Systems (CECS), the Institute for Software Research (ISR), and the UC Irvine Cybersecurity Policy & Research Institute (CPRI). Before coming to UCI, I received my Ph.D. degree from Computer Science and Engineering at the University of Michigan, Ann Arbor in 2018. My 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, my 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 my 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. My 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 emering autonomous cars/drones/robots, intelligent traffic light, smartphone systems, critical network protocols (e.g., TCP), DNS, GUI systems, access control systems, etc