Dynamic Voltage Scaling: from Low Power to Security
Dr. Qu Gang
Dynamic voltage scaling (DVS) is one of the most effective and widely used techniques for low power design. It adjusts system operating voltage and clock frequency based on the real time application’s computation and deadline information in order to reduce the power and energy consumption. In this talk, I will share our research results on DVS and the lessons I have learned in three different periods of my research career. First, in the late 1990’s, as a graduate student, we formulated the problem of DVS for energy minimization and derived a series of optimal solutions under different system settings to guide the practice of DVS enabled system design. Then in 2000, I became an assistant professor and we studied how to apply DVS to scenarios where the traditional execution-time-for-energy tradeoff does not exist. Finally, in the past five years, we developed DVS-based attacks to break the trusted execution environment in model computing platforms. I will also show our work on enhancing system security by DVS through examples of device authentication and countermeasures to machine learning model inversion attacks. It is my hope that this talk can shed light on how to find a research topic and make your contributions.
Gang Qu received his B.S. in mathematics from the University of Science and Technology of China (USTC) and Ph.D. in computer science from the University of California, Los Angeles (UCLA). He is currently a professor in the Department of Electrical and Computer Engineering at the University of Maryland, College Park, where he leads the Maryland Embedded Systems and Hardware Security Lab (MeshSec) and the Wireless Sensor Laboratory. His research activities are on trusted integrated circuit design, hardware security, energy efficient system design and wireless sensor networks. He has focused recently on applications in the Internet of Things, cyber-physical systems, and machine learning. He has published more than 250 conference papers and journal articles on these topics with several best paper awards. Dr. Qu is an enthusiastic teacher. He has taught and co-taught various security courses, including a popular MOOC on Hardware Security through Coursera. Dr. Qu has served 17 times as the general or program chair/co-chair for international conferences and workshops. He is currently on the editorial board of IEEE TCAD, TETC, ACM TODAES, JCST, Integration, and HSS. Dr. Qu is a fellow of IEEE.
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For more information, please refer to http://www.cse.cuhk.edu.hk/seminar-archive/