Welcome to the SecAI Lab

We are a security research group at the Department of Computer Science and Engineering, College of Computing and Informatics in Sungkyunkwan University.

The number of computing devices such as laptops, workstations, mobiles, Internet of Things, and cloud services has been ever increasing, communicating with each other. Accordingly, enormous amount of digitalized data become available, necessitating information security all around us.

The SecAI lab focuses on system/software security and emerging technologies that require security. In particular, we are working on security with artificial intelligence (AI) where our lab name originates from. Our interests encompass varying topics to which deep learning could be applied including - but not limited to - executable binary analysis (e.g., benign software and malware), understanding of code semantics, advanced attack detection and prevention, digital forensics, etc.

I am Hyungjoon Koo who leads the SecAI lab. Launching a new lab, a relatively young lab means that we have lots of potential for the future.

We are looking for a passionate Ph.D. student (Preferred fields: binary analysis with AI, privacy) to join our lab!
If you think you are the one who
[+] enjoys endless intellectual exploration
[+] has full of curiosity and desire to unearth the unknown digital world
[+] exerts your passion to move forward together for making the world secure,

Please fill out this form (An application via an email may not be considered).

News

Nov 24, 2022

Our paper, A Transformer-based Function Symbol Name Inference Model from an Assembly Language for Binary Reversing, has been accepted to ASIACCS 2023!

Nov 9, 2022

Our paper, A Study of Executable Binaries with Emerging Compilation Tools, has been accepted to CISC-W 2022 with the Best Paper Award!

Nov 9, 2022

Our paper, A Study of Rarely Appeared Instructions in an Executable Binary, has been accepted to CISC-W 2022!

Nov 9, 2022

Our paper, Server-client Based Reversing Tools with a Prediction Model for Function Names, has been accepted to CISC-W 2022!

Sep 3, 2022

Our paper, Practical Binary Code Similarity Detection with BERT-based Transferable Similarity Learning, has been accepted to ACSAC 2022!

Sep 3, 2022

Our paper, DeView: Confining Progressive Web Applications by Debloating Web APIs, has been accepted to ACSAC 2022!

Jul 1, 2022

Hyoungjune Jeon and Seok Kim joined the lab, welcome!

Jun 29, 2022

We got the Best Paper Award in the Competition of Capstone Design Project Hosted by Korean Institute of Smart Media (한국스마트미디어학회 종합학술대회)!

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