Approximate computing & data sketches
Compact data sketches for counting and high-order frequency estimation.
EWHA WOMANS UNIVERSITY
Measuring and securing networks with approximate computing and data sketches.
Small representations.
Large-scale possibilities.
WHAT WE STUDY
Compact data sketches for counting and high-order frequency estimation.
Measuring and analyzing encrypted traffic with efficient algorithms and programmable data planes.
Angular distance and inner-product estimation for efficient KV caching, from our ICML work to LAS (Learned Attention System).
Exploring LSM-tree designs for high-performance key-value storage.
Privacy-preserving data sketches and resource-efficient AI systems.
The Information Security Research Laboratory (ISRL) studies how to measure and protect networks at scale, from in-network security on programmable routers to privacy-preserving machine learning. Explore our publications or the latest news.
OUR PEOPLE
PhD student
PhD student
MS student
MS student
LATEST WORK
International Conference on Machine Learning (ICML 2026)
USENIX NSDI (USENIX Symposium on Networked Systems Design and Implementation) 2026
IEEE Transactions on Big Data
BUILD WHAT COMES NEXT
We welcome undergraduate interns and graduate students interested in AI, security, and scalable systems.