Improved Post-Filtering Method Using Context Compensation. - Be-Deu-Ro Kim; Jee-Hyong Lee 001 (Int. J. Fuzzy Log. Intell. Syst., 2016)

DeepCapture: Image Spam Detection Using Deep Learning and Data Augmentation. - Bedeuro Kim; Sharif Abuadbba; Hyoungshick Kim (ACISP, 2020)

Decamouflage: A Framework to Detect Image-Scaling Attacks on Convolutional Neural Networks. - Bedeuro Kim; Alsharif Abuadbba; Yansong Gao 001; Yifeng Zheng; Muhammad Ejaz Ahmed; Hyoungshick Kim; Surya Nepal (CoRR, 2020)

Can We Create a Cross-Domain Federated Identity for the Industrial Internet of Things without Google? - Eunsoo Kim; Young-Seob Cho; Bedeuro Kim; Woojoong Ji; Seok-Hyun Kim; Simon S. Woo; Hyoungshick Kim (IEEE Internet Things Mag., 2020)

Decamouflage: A Framework to Detect Image-Scaling Attacks on CNN. - Bedeuro Kim; Alsharif Abuadbba; Yansong Gao 001; Yifeng Zheng; Muhammad Ejaz Ahmed; Surya Nepal; Hyoungshick Kim (DSN, 2021)

Towards Usable and Secure Location-based Smartphone Authentication. - Geumhwan Cho; Sungsu Kwag; Jun Ho Huh; Bedeuro Kim; Choong-Hoon Lee; Hyoungshick Kim (SOUPS @ USENIX Security Symposium, 2021)

MENDEL: Time series anomaly detection using transfer learning for industrial control systems. - Jeongyong Park; Bedeuro Kim; Hyoungshick Kim (BigComp, 2023)

A Comparative Study of Time Series Anomaly Detection Models for Industrial Control Systems. - Bedeuro Kim; Mohsen Ali Alawami; Eunsoo Kim; Sanghak Oh; Jeongyong Park; Hyoungshick Kim (Sensors, 2023)

The silence of the phishers: Early-stage voice phishing detection with runtime permission requests. - Chanjong Lee; Bedeuro Kim; Hyoungshick Kim (Comput. Secur., 2025)