M.S. student @ Sookmyung · Graduate researcher @ SNSec Lab · Security × Machine Learning
- M.S. student, Division of Artificial Intelligence Engineering, Sookmyung Women's University (Sep 2026–present)
- B.S., Division of Artificial Intelligence Engineering (minoring in Big Data), Sookmyung Women's University (2023–Aug 2026, early graduation) — GPA 4.45 / 4.5, ranked 1st in the College of Engineering (Aug 2026 graduating class)
- Graduate researcher @ SNSec Lab (System & Network Security Lab) · Advisor: Prof. Seonghoon Jeong
- I build robust, explainable systems for data-driven security with machine learning — detecting and explaining intrusions, from connected vehicles to evolving network threats.
Data-driven Security · Intrusion Detection · Adversarial ML · Automotive / CAN Security · DGA Detection · Deep Learning & NLP
- DRIFT — Drift-Resilient Invariant-Feature Transformer for DGA Detection · IEEE/IFIP DSN 2026 (co–first author) · 🏆 DSN'26 Student Travel Grant
- SURF — real-time AI secure-DNS (hybrid-Transformer detector · Unbound + Redis + Prometheus · browser extension) → ChaeChae-SnSec
- ReadIT — 🏆 Grand Prize, 2024 DACOS × SOLUX joint hackathon (AI IT-news summarization · backend)
- Smart-factory energy dashboard — 🏆 Grand Prize, AWS data-analytics program (SageMaker forecasting + anomaly detection)
For my full record — paper, dataset, and patent — please refer to chaeyoung.net.
