Ph.D Candidate
in
Computer Science
at
University of Maryland, College Park,
advised by
Prof. Tudor Dumitraș.
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,
4] or
datasets that we use to train them
[5].
This effort often leads to contributions to ML privacy
[6]
and security services for cloud infrastructures
[7,
8].
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)
Jan. 2021:
My paper has been accepted to
ICLR 2021.
(Spotlight Talk)
(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 and
Dr. Alexey Kurakin.
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.
