About Us
Hello! Welcome to The Cake Lab. We are a research group from the Department of Computer Science at Worcester Polytechnic Institute. Our group focuses on systems, networking, and security. For examples, some of our ongoing projects involve optimizing the performance and security of critical and emerging systems, including distributed systems, cloud and mobile applications, and embedded systems.
Our work is generously supported by the National Science Foundation, Office of Naval Research, Google Cloud, and the Google Open Source Security Team (GOSST).
Faculty
Affiliated Faculty
Mark Claypool
Professor
PhD Students
Zorigtbaatar Chuluundorj
Enterprise network security
Xin Dai
Mobile-aware DNN (co-advised with Xiangnan Kong)
Sirshendu Ganguly
IoT and cloud security
Guin Gilman
GPU and systems performance
Yunsen Lei
Front-end server security
Shijian Li
Distributed training
Yu Liu
Residential network security
Sam Ogden
Mobile deep inference
Tongwei Ren
IoT and cloud security
Yiqin Zhao
Mobile augmented reality
Yiyang Zhao
Neural architecture search
Graduate Students
Shradha Neupane
Software ecosystem security
Selected Publications
See All
Holistic Control-Flow Protection on Real-Time Embedded Systems with Kage
Yufei Du, Zhuojia Shen, Komail Dharsee, Jie Zhou, Robert J. Walls, John Criswell
USENIX Security Symposium 2022
PaperCan the User Help? Leveraging User Actions for Network Profiling
Zorigtbaatar Chuluundorj, Curtis Taylor, Robert J. Walls, Craig Shue
International Conference on Software Defined Systems (SDS'21)
PaperCharacterizing Concurrency Mechanisms for NVIDIA GPUs under Deep Learning Workloads
Guin Gilman, Robert J. Walls
39th International Symposium on Computer Performance, Modeling, Measurements and Evaluation (Performance'21)
PaperMemory-Efficient Deep Learning Inference in Trusted Execution Environments
Jean-Baptiste Truong, William Gallagher, Tian Guo, Robert J. Walls
9th IEEE International Conference on Cloud Engineering (IC2E)
PaperMany Models at the Edge: Characterizing andImproving Deep Inference via Model-Level Caching
Samuel S. Ogden, Guin R. Gilman, Robert J. Walls, Tian Guo
International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS'21)
PaperXihe: A 3D Vision-based Lighting Estimation Framework for Mobile Augmented Reality
Yiqin Zhao, Tian Guo
The 19th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys'21)
PaperLinks
