profile

Hanna Kim

Ph.D. student, KAIST (EE), advised by Prof. Seongwon Shin

LLM SecurityAI for CybersecurityData-driven Security

About

Hello, I'm Hanna. I’m a third-year Ph.D. student at KAIST, advised by Prof. Seongwon Shin and working closely with Prof. Kimin Lee. I will be joining UIUC as a Visiting Scholar (Nov 2025–May 2026), advised by Prof. Xiaojing Liao. Before my Ph.D., I earned both my Bachelor’s and Master’s degrees in Electrical Engineering from KAIST.

My research explores the security of large language models (LLMs) and agent systems, and how AI can be applied to strengthen cybersecurity. Recently, I study web-enabled/agentic risks, unlearning-based safety degradation, graph-based security analytics, and practical detection systems.

Selected Publications

Security'25
When LLMs Go Online: The Emerging Threat of Web-Enabled LLMs
H. Kim, M. Song, S.H. Na, S. Shin, K. Lee · USENIX Security 2025
Security'25
Refusal Is Not an Option: Unlearning Safety Alignment of Large Language Models
M. Song, H. Kim, J. Kim, S. Shin, S. Son · USENIX Security 2025
NDSS'25
Tweezers: A Framework for Security Event Detection via Event Attribution-centric Tweet Embedding
J. Cui, H. Kim, E. Jang, D. Yim, K. Kim, Y. Lee, J.W. Chung, S. Shin, X. Liao · NDSS 2025
NAACL'25
Claim-guided textual backdoor attack for practical applications
M. Song, H. Kim, J. Kim, Y. Jin, S. Shin · NAACL 2025 Findings
NDSS'24
DRAINCLoG: Detecting Rogue Accounts with Illegally-obtained NFTs using Classifiers Learned on Graphs
H. Kim, J. Cui, E. Jang, C. Lee, Y. Lee, J.W. Chung, S. Shin · NDSS 2024
Submitted
AutoNF: Automatic Generation of Network Functions for SmartNICs Using Multi-Agent LLM Framework
M. You, H. Kim, J. Nam, I. Kim, M. Seo, T. Kim, S. Shin · Under review at ASPLOS 2026

Experience

University of Illinois Urbana-Champaign (UIUC)
Visiting Scholar, Advisor: Prof. Xiaojing Liao
Nov 2025 – May 2026 · United States
  • Research on AI-driven cybersecurity
S2W (site)
Research Intern, Jul 2022 – Feb 2023 · South Korea
  • NFT scam analysis; built GNN-based malicious account detection
  • Graph-based security event detection with contrastive learning

Invited Talks & Media Coverage

Honors & Awards

Global Advanced Cybersecurity HRD Program Grant (>$25,000) — Korea Institute of Information Security & Cryptology, 2025
7th Financial Security Institute Research Paper Competition — Korea Financial Security Institute (K-FSI), 2023
The 2023 Korea Cyber Security Paper Award — Korea National Intelligence Service, 2023
5th Financial Security Institute Research Paper Competition — Korea Financial Security Institute, 2021