Hyungjoon (Kevin) Koo

Associate Professor in SKKU (kevin.koo AT skku.edu); 27316B, 2nd Eng. Bldg., Natural Science Campus, Sungkyunkwan University (2066 Seobu-ro, Jangan-gu, Suwon, South Korea)

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I am an associate professor in Computer Science and Engineering at College of Computing in Sungkyunkwan University (SKKU). Currently, I am leading SecAI Lab at SKKU. I was a postdoctoral researcher at SSLab in Georgia Tech, working with Taesoo Kim. I earned my Ph.D. in Computer Science (CS) from Stony Brook University (adviser: Michalis Polychronakis). I received the M.Sc. degree in Information Security from Korea University, working at the Digital Forensics Lab (DFRC) with Sangjin Lee. I studied computer science in the University of Texas at Austin as an exchange student. I also had worked for Samsung SDS and Shinhan bank in a security team. I am fortunate to have a variety of interesting experiences from both industrial and academic sides in the security field, thanks to the great people who led me.

With the Internet of Things, security matters everywhere by getting more connected each other ever. So I wanted to make this space reserved for writing down stuff (security findings, knowledge I often forget, what I have done for fun and so on). I like dealing with practical security which impacts on human’s life, based upon theory. 

Interests

  • Artificial Intelligence for Security
  • Binary Analysis and Protection
  • Software Security
  • Digital Forensics
  • Anonymity VS Censorship
  • Malware Analysis
  • Insider Threat and Profiling
  • Internet of Things Security
  • Visualization for Security

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News

Oct 31, 2024 Our paper, An Empirical Study of Black-box based Membership Inference Attacks on a Real-World Dataset, has been accepted to FPS 2024!
May 20, 2024 Our paper, BENZENE: A Practical Root Cause Analysis System with an Under-Constrained State Mutation, got a Distinguished Paper Award at S&P 2024!
Jan 23, 2024 Our paper, R2I: A Relative Readability Metric for Decompiled Code, has been accepted to FSE 2024!
Jan 19, 2024 Our paper, BinAdapter: Leveraging Continual Learning for Inferring Function Symbol Names in a Binarypaper, has been accepted to ASIACCS 2024!
Jan 12, 2024 Our paper, ToolPhet: Inference of Compiler Provenance from Stripped Binaries with Emerging Compilation Toolchains, has been accepted to IEEE Access (Jan. 2024)!

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