Dongkwan Kim
Postdoctoral Fellow at Georgia Institute of Technology
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolDongkwan Kim is a Principal Security Researcher at Microsoft with a decade of experience building AI-driven systems for vulnerability discovery, exploit generation, and scalable defenses. His work bridges cutting-edge research and real-world red team operations, informed by prior leadership at Samsung Security Center and deep firmware and cyber-physical systems expertise from KAIST. A DARPA AIxCC winner and five-time DEF CON CTF finalist, he publishes regularly in top venues (USENIX, CCS, NDSS, IEEE S&P) and has 1,400+ citations, reflecting both practical impact and academic rigor. He’s notable for applying large-language-model infrastructure to automate exploit workflows—a less obvious thread that ties his postdoc work to production security automation. Based in Atlanta, he combines kernel-to-cloud offensive experience with scalable AI tooling to harden enterprise and embedded systems.
10 years of coding experience
3 years of employment as a software developer
Visiting Scholar, Embedded Device Security, Visiting Scholar, Embedded Device Security at EURECOMDoctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at Korea Advanced Institute of Science and Technology
Korean, English
Github Skills (42)
benchmark10
similarity10
mach-o9
benchmarking9
disassembly9
emulation8
reverse-engineering8
scrape8
slice8
x868
x86-648
jsonresume8
evm7
firmware7
abstract-interpretation7
Programming languages (5)
Github contributions (5)
0xdkay/kaist-thesis-template
Nov 2018 - Jan 2021
Contributions:7 commits, 7 pushes, 1 branch in 2 years 2 months
SoftSec-KAIST/TikNib
Aug 2020 - Jul 2022
Binary Code Similarity Analysis (BCSA) Tool
Contributions:9 commits, 1 PR, 7 pushes in 1 year 10 months
binary-analysiscode-similaritysimilaritysimilarity-analysis
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