Ph.D Candidate
in
Computer Science
at
University of Maryland, College Park,
advised by
Prof. Tudor Dumitraș.
** I am on the job market this year (2020-21)! **
Research Interests
My research objective is to solve the security and privacy problems of
machine learning (ML) systems. For this, I am particularly interested
in characterizing the vulnerable interactions between ML algorithms and
their surrounding environments such as hardware/systems where ML
algorithms are deployed
[1,
2,
3] or
datasets that we use to train them
[4].
This effort often leads to contributions to ML privacy
[5]
and security services for cloud infrastructures
[6,
7].
Short Bio
I received my B.S. in Electrical Engineering and Computer Science (EECS)
from
Seoul National University
in 2015. During my undergraduate years, I carried out projects with
LG Electronics Inc. (LGE)
as a lead researcher (as part of my mandatory military service in South Korea).
Also, I founded Openwise Inc. (2013-15), a start-up company where I worked
as a chief technology officer, and supervised research projects carried out
with
Samsung Advanced Institute of Technology (SAIT).
(New)
Nov. 2020: My talk proposal has been accepted to
the USENIX Enigma 2021. (Super-excited!)
Oct. 2020: I started my internship at
Google Brain
under the supervision of
Dr. Nicholas Carlini.
May. 2020: I did my thesis proposal. Now I became a Ph.D. candidate :)
Mar. 2020: I was awarded
the Ann G. Wylie Dissertation Fellowship.
Jan. 2020: I was selected as a
2020-21 Future Faculty Fellow by the Clark School of Engineering.
