Associate Professor, School of Computing 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. Education: PhD, Computer Science, Purdue University 2014 MSc, Computer Science, Yonesi University BSc, Computer Science, Yonesi University Research Research Interests: 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 Selected Publications: Jaewoo Lee and Daniel KiferScaling up Differentially Private Deep Learning with Fast Per-Example Gradient ClippingPETS 2021 Chen Chen and Jaewoo LeeStochastic Adaptive Line Search for Differentially Private OptimizationIEEE BIG DATA 2020 (Regular paper) Jaewoo Lee and Daniel KiferDifferentially Private Deep Learning with Direct Feedback AlignmentIn preparation (Arxiv 2020) Daniele Ucci, Roberto Perdisci, Jaewoo Lee, Mustaque AhamadBuilding a Collaborative Phone Blacklisting System with Local Differential PrivacyACSAC 2020 Chen Chen, Jaewoo LeeRenyi Differentially Private ADMM for Non-smooth Regularized OptimizationIEEE CODASPY 2020 Vinodh K. Jayakumar, Jaewoo Lee, In Kee Kim, Wei WangA Self-Optimized Generic Workload Prediction Framework for Cloud ComputingIEEE 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-InjuryIEEE CogMI 2019 Of note: 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.
