Timely login status control using mobile app. - SeokHwan Choi 001; Da-Hyeon Kim; Yoon-Ho Choi (CNS, 2015)

STEAL: Service Time-Aware Load balancer on many-core processors for fast intrusion detection. - Yoon-Ho Choi; WooJin Park; SeokHwan Choi 001; Seung-Woo Seo (INFOCOM Workshops, 2016)

Wireless intrusion prevention system using dynamic random forest against wireless MAC spoofing attack. - Seok-Hwan Choi 001; Doo-Hee Hwang; Yoon-Ho Choi (DSC, 2017)

Memory-Efficient Random Forest Generation Method for Network Intrusion Detection. - Seok-Hwan Choi 001; DongHyun Ko; SeonJin Hwang; Yoon-Ho Choi (ICUFN, 2018)

Privacy-Preserving Compressed Reference-Oriented Alignment Map Using Decentralized Storage. - Doo-Hee Hwang; Seok-Hwan Choi 001; Jin-Myeong Shin; Giltae Song; Yoon-Ho Choi (IEEE Access, 2018)

Robustness Analysis of CNN-based Malware Family Classification Methods Against Various Adversarial Attacks. - Seok-Hwan Choi 001; Jin-Myeong Shin; Peng Liu 005; Yoon-Ho Choi (CNS, 2019)

Unsupervised multi-stage attack detection framework without details on single-stage attacks. - Jin-Myeong Shin; Seok-Hwan Choi 001; Peng Liu 005; Yoon-Ho Choi (Future Gener. Comput. Syst., 2019)

Dynamic Nonparametric Random Forest Using Covariance. - Seok-Hwan Choi 001; Jin-Myeong Shin; Yoon-Ho Choi (Secur. Commun. Networks, 2019)

Structural Image De-Identification for Privacy-Preserving Deep Learning. - DongHyun Ko; Seok-Hwan Choi 001; Jin-Myeong Shin; Peng Liu 005; Yoon-Ho Choi (IEEE Access, 2020)

Robust Indoor Localization Methods Using Random Forest-Based Filter against MAC Spoofing Attack. - DongHyun Ko; Seok-Hwan Choi 001; Sungyong Ahn; Yoon-Ho Choi (Sensors, 2020)

Is Homomorphic Encryption-Based Deep Learning Secure Enough? - Jin-Myeong Shin; Seok-Hwan Choi 001; Yoon-Ho Choi (Sensors, 2021)

EEJE: Two-Step Input Transformation for Robust DNN Against Adversarial Examples. - Seok-Hwan Choi 001; Jin-Myeong Shin; Peng Liu 005; Yoon-Ho Choi (IEEE Trans. Netw. Sci. Eng., 2021)

ARGAN: Adversarially Robust Generative Adversarial Networks for Deep Neural Networks Against Adversarial Examples. - Seok-Hwan Choi 001; Jin-Myeong Shin; Peng Liu 005; Yoon-Ho Choi (IEEE Access, 2022)

CodeNet: Code-Targeted Convolutional Neural Network Architecture for Smart Contract Vulnerability Detection. - SeonJin Hwang; Seok-Hwan Choi 001; Jin-Myeong Shin; Yoon-Ho Choi (IEEE Access, 2022)

A Study on Prevention and Automatic Recovery of Blockchain Networks Against Persistent Censorship Attacks. - Jae-Seok Kim; Jin-Myeong Shin; Seok-Hwan Choi 001; Yoon-Ho Choi (IEEE Access, 2022)

Clustering Approach for Detecting Multiple Types of Adversarial Examples. - Seok-Hwan Choi 001; Tae-u Bahk; Sungyong Ahn; Yoon-Ho Choi (Sensors, 2022)

Instance-Agnostic and Practical Clean Label Backdoor Attack Method for Deep Learning Based Face Recognition Models. - Tae-Hoon Kim; Seok-Hwan Choi 001; Yoon-Ho Choi (IEEE Access, 2023)

PIHA: Detection method using perceptual image hashing against query-based adversarial attacks. - Seok-Hwan Choi 001; Jin-Myeong Shin; Yoon-Ho Choi (Future Gener. Comput. Syst., 2023)

Advanced Analysis of Learning-Based Spam Email Filtering Methods Based on Feature Distribution Differences of Dataset. - Jin-Seong Kim; Han-Jin Lee; Han-Ju Lee; Seok-Hwan Choi 001 (IEEE Access, 2024)

MalFormer: A Novel Vision Transformer Model for Robust Malware Analysis. - In-Woong Jeong; Han-Ju Lee; Gwang-Nam Kim; Seok-Hwan Choi 001 (IEEE Access, 2025)

AB-VIP: Attack Method Using Brightness Information for Visibility Improvement of Adversarial Perturbations on the NMS Algorithm. - Gwang-Nam Kim; Han-Ju Lee; Han-Jin Lee; Hyeon-Jin Jung; Seok-Hwan Choi 001 (IEEE Access, 2025)

POSES: Patch Optimization Strategies for Efficiency and Stealthiness Using eXplainable AI. - Han-Ju Lee; Jin-Seong Kim; Han-Jin Lee; Seok-Hwan Choi 001 (IEEE Access, 2025)

DPAC: Distribution-Preserving Adversarial Control for Diffusion Sampling. - Han-Jin Lee; Han-Ju Lee; Jin-Seong Kim; Seok-Hwan Choi 001 (CoRR, 2025)

FAMF: Robust Feature-Level Adversarial Attack on Metric-Based Few-Shot Learning Models. - Gwang-Nam Kim; Han-Ju Lee; In-Woong Jeong; Jin-Myeong Shin; Seok-Hwan Choi 001 (IEEE Access, 2026)