I am an assistant professor in the computer science department at the University of Georgia. Before joining UGA, I was a postdoctoral research associate working in Prof. Daniel Kifer's machine learning lab at PennState University. I received my Ph.D. in computer science in 2014 from Purdue University, where I studied privacy-preserving data analysis techniques under the supervision of Prof. Chris Clifton. Before joining Purdue, I was a member of the database group at Yonsei university where I obtained my master's and bachelor's degrees in Computer Science. During my master's study, I did research on developing efficient stream mining algorithms for high-dimensional data streams under the supervision of Prof. Won Suk Lee.
PhD, Computer Science, Purdue University 2014
MSc, Computer Science, Yonesi University
BSc, Computer Science, Yonesi University
Research
My research interests lie at the intersections of data mining, machine learning, data privacy, and security. My primary interest is on data privacy --- providing strong privacy guarantees while making accurate computations on sensitive datasets possible. I work on developing new methodologies for performing machine learning and data mining tasks on sensitive data. The research topics of my interests are listed below, but not limited to:
- Data privacy
- Machine learning
- Convex optimization
- Security analytics
Selected Publications
- Jaewoo Lee and Daniel Kifer
Scaling up Differentially Private Deep Learning with Fast Per-Example Gradient Clipping
PETS 2021 - Chen Chen and Jaewoo Lee
Stochastic Adaptive Line Search for Differentially Private Optimization
IEEE BIG DATA 2020 (Regular paper) - Jaewoo Lee and Daniel Kifer
Differentially Private Deep Learning with Direct Feedback Alignment
In preparation (Arxiv 2020) - Daniele Ucci, Roberto Perdisci, Jaewoo Lee, Mustaque Ahamad
Building a Collaborative Phone Blacklisting System with Local Differential Privacy
ACSAC 2020 - Chen Chen, Jaewoo Lee
Renyi Differentially Private ADMM for Non-smooth Regularized Optimization
IEEE CODASPY 2020 - Vinodh K. Jayakumar, Jaewoo Lee, In Kee Kim, Wei Wang
A Self-Optimized Generic Workload Prediction Framework for Cloud Computing
IEEE IPDPS 2020 - Lei Xian, Samuel Dakota Vickerss, Amanda L. Giordano, Jaewoo Lee, In Kee Kim, Lakshmish Ramaswamy
#selfharm on Instagram: Quantitative Analysis and Classification of Non-Suicidal Self-Injury
IEEE CogMI 2019
I am looking for hard-working and self-motivated graduate students. If you are interested in machine learning or data privacy research, please contact me with your CV.