About me

Hello, I'm Jaewon! I'm an undergraduate student at Berkeley studying EECS and pure mathematics. My research interests gravitate towards adversarial learning in ML and addressing memory underutilization in Systems. After two years at Berkeley, I took a detour and enlisted in the South Korean army. Before that, I've been fortunate to have been involved in research at BAIR and SkyLab, under the guidance of Chawin Sitawarin and Jaewan Hong respectively.

At BAIR, I've been involved in developing robust defenses against adversarial attacks, which have previously been proven to be transferable across neural networks. Meanwhile, at SkyLab, I used to work on developing ways to tackle the challenge of memory underutilization within peer-to-peer networks.

Recently, I've been spending most of my free time in the army reading non-fiction novels like Bad Blood by John Carreyrou, Empire of Pain by Patrick Keefe, among others. I've also been learning about new ML subtopics, including RL and CV.

I also have a great passion for teaching, having mentored numerous middle and high school students in science and math. During my first two years at Berkeley, I've been apart of the EECS 16A course staff for two semesters, and the Academic Intern team for CS 61C and CS 70.

Outside of academics, some of my hobbies include going to the gym, reading novels, and playing league of legends. I was part of Berkeley's division 1 collegiate league of legends team, and my top rank was GM on the korean server!

News

• [October 2024] I created a web-based Todo-list
• [March 2024] I started the Gomoku project
• [March 2024] I created my personal website!
• [January 2024] Our paper on adversarial learning is accepted to ICLR 2024!
• [September 2023] I begin my mandatory military service in the South Korean army.

Publications

ICLR

Defending Against Transfer Attacks From Public Models

Chawin Sitawarin, Jaewon Chang*, David Huang*, Wesson Altoyan, David Wagner

In the Twelfth International Conference on Learning Representations (ICLR), 2024

PDF BIB CODE WEBSITE

@inproceedings{sitawarin_defending_2024,
title = {Defending against Transfer Attacks from Public Models},
booktitle = {The Twelfth International Conference on Learning Representations},
author = {Sitawarin, Chawin and Chang{${*}$}, Jaewon and Huang{${*}$}, David and Altoyan, Wesson and Wagner, David},
year = {2024},
month = jan,
url = {https://openreview.net/forum?id=Tvwf4Vsi5F},
archiveprefix = {arxiv},
keywords = {Computer Science - Artificial Intelligence,Computer Science - Computer Vision and Pattern Recognition,Computer Science - Cryptography and Security,Computer Science - Machine Learning,notion},
}

Projects

Todo-list: A web-accessible todolist

Gomoku: A connect-5 game [CODE]

Teaching

• [EECS 16A - Course Reader] Fall 2022, Spring 2023
• [CS 70 - Academic Intern] Spring 2023
• [CS 61C - Academic Intern] Spring 2023

Technical Coursework