Security × Machine Learning

Chaeyoung Lee
Security & ML researcher

Fourth-year undergraduate in the Division of Artificial Intelligence Engineering (minoring in Big Data) at Sookmyung Women's University (2023–present), and currently an undergraduate researcher at SNSec Lab. I work on data-driven security with machine learning — building robust, explainable systems that detect and explain intrusions, from connected vehicles to evolving network threats.

Key Research Areas

Core Tech

Deep Learning, NLP

Security

Data-driven Security, Intrusion Detection

Safety & Trust

Adversarial Machine Learning, Automotive Security

Emerging Interests

Data Poisoning, Machine Unlearning

News

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Jun 3, 2026 Awarded an IEEE/IFIP DSN 2026 Student Travel Grant — supporting travel to present “DRIFT: Drift-Resilient Invariant-Feature Transformer for DGA Detection” at the conference in Charlotte, North Carolina. Chaeri Jung and I were each selected by the DSN’26 Student Travel Grant Committee, co-chaired by Meera Sridhar and Domenico Cotroneo.
Jun 3, 2026 Launched this personal website at chaeyoung.net (built June 1–3).
May 11, 2026 Registered the chaeyoung.net domain.
Apr 27, 2026 Our paper “DRIFT: Drift-Resilient Invariant-Feature Transformer for DGA Detection” (Chaeyoung Lee and Chaeri Jung, equal contribution) was accepted to IEEE/IFIP DSN’26.

Selected publications