Robust video watermarking for MPEG compression and DA-AD conversion. - Jong-Uk Hou; Jin-Seok Park; Do-Guk Kim; Seung-Hun Nam; Heung-Kyu Lee (IWIHC@AsiaCCS, 2014)

Color laser printer identification using photographed halftone images. - Do-Guk Kim; Heung-Kyu Lee (EUSIPCO, 2014)

Identifying photorealistic computer graphics using convolutional neural networks. - In-Jae Yu; Do-Guk Kim; Jin-Seok Park; Jong-Uk Hou; Sunghee Choi; Heung-Kyu Lee (ICIP, 2017)

Detecting digital image forgery in near-infrared image of CCTV. - Jin-Seok Park; Dai-Kyung Hyun; Jong-Uk Hou; Do-Guk Kim; Heung-Kyu Lee (Multim. Tools Appl., 2017)

Paired mini-batch training: A new deep network training for image forensics and steganalysis. - Jin-Seok Park; Hyeon-Gi Kim; Do-Guk Kim; In-Jae Yu; Heung-Kyu Lee (Signal Process. Image Commun., 2018)

Investment Universe Construction Based on the Theme Keyword Search. - Do-Guk Kim; Bonggyun Ko (IEEE Access, 2019)

Learning deep features for source color laser printer identification based on cascaded learning. - Do-Guk Kim; Jong-Uk Hou; Heung-Kyu Lee (Neurocomputing, 2019)

Efficient Decoupled Neural Architecture Search by Structure And Operation Sampling. - Heung-Chang Lee; Do-Guk Kim; Bohyung Han (ICASSP, 2020)

Differentiable Neural Architecture Transformation for Reproducible Architecture Improvement. - Do-Guk Kim; Heung-Chang Lee (CoRR, 2020)

SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness. - Jongheon Jeong; Sejun Park; Minkyu Kim 004; Heung-Chang Lee; Do-Guk Kim; Jinwoo Shin (NeurIPS, 2021)

Proxyless Neural Architecture Adaptation at Once. - Do-Guk Kim; Heung-Chang Lee (IEEE Access, 2022)

Proxyless Neural Architecture Adaptation for Supervised Learning and Self-Supervised Learning. - Do-Guk Kim; Heung-Chang Lee (CoRR, 2022)

UKTA: Unified Korean Text Analyzer. - Seokho Ahn; Junhyung Park; Ganghee Go; Chulhui Kim; Jiho Jung; Myung Sun Shin; Do-Guk Kim; Young-Duk Seo (SAC, 2025)