About Me
I’m a Ph.D. student in the Computer Science and Engineering department at University of California, San Diego. I am currently working at System Energy Efficiency Lab (SEE Lab) with professor Tajana Simunic Rosing.
I am interested in privacy-preserving computation using fully homomorphic encryption.
Paper
Efficient machine learning on encrypted data using hyperdimensional computing
Nam, Y., Zhou, M., Gupta, S., De Micheli, G., Cammarota, R., Wilkerson, C., Micciancio, D. and Rosing, T.
2023 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)
link
Hardware Architecture of a Number Theoretic Transform for a Bootstrappable RNS-based Homomorphic Encryption Scheme
Kim, S., Lee, K., Cho, W., Nam, Y., Cheon, J.H. and Rutenbar, R.A.
2020 IEEE 28th Annual International Symposium on FCCM
pdf
Education
University of California, San Diego
Ph.D in Computer Science
2021 - present
Seoul National University (SNU)
B.S. in Electrical and Computer Engineering
2015 - 2020
Work Experience
Intel Labs
Graduate Intern (Fully homomorphic encryption workload analysis)
Jun 2023 - Sep 2023
Intel
Graduate Intern (Fully homomorphic encryption workload analysis)
Jun 2022 - Sep 2022
Crypto Lab
Researcher
Aug 2019 - Sep 2020