TCAC-GAN: Synthetic Trajectory Generation Model Using Auxiliary Classifier Generative Adversarial Networks for Improved Protection of Trajectory Data. - Jihwan Shin; Yeji Song; Jinhyun Ahn; Taewhi Lee; Dong-Hyuk Im (BigComp, 2023)

Except-Condition Generative Adversarial Network for Generating Trajectory Data. - Yeji Song; Jihwan Shin; Jinhyun Ahn; Taewhi Lee; Dong-Hyuk Im (DEXA (2), 2023)

Generating Labeled Multiple Attribute Trajectory Data With Selective Partial Anonymization Based on Exceptional Conditional Generative Adversarial Network. - Yeji Song; Jihwan Shin; Jinhyun Ahn; Taewhi Lee; Dong-Hyuk Im (IEEE Access, 2023)

Diagnosis of Middle Ear Diseases Based on Convolutional Neural Network. - Yunyoung Nam; Seong Jun Choi; Jihwan Shin; Jinseok Lee (Comput. Syst. Sci. Eng., 2023)

GNN-based Ethereum Smart Contract Multi-Label Vulnerability Detection. - Yoo-Young Cheong; La Yeon Choi; Jihwan Shin; Taekyung Kim 001; Jinhyun Ahn; Dong-Hyuk Im (ICOIN, 2024)

Advanced Trajectory Privacy Protection with Attention Mechanism and Auxiliary Classifier Generative Adversarial Networks. - Jihwan Shin; Yeji Song; Yoo-Young Cheong; Jinhyun Ahn; Taewhi Lee; Dong-Hyuk Im (ICOIN, 2024)

Differential privacy in statistical queries for synthetic trajectories generated by generative adversarial networks. - Jihwan Shin; Yeji Song; Minsoo Jang; Jinhyun Ahn; Taewhi Lee; Dong-Hyuk Im (Connect. Sci., 2025)

Heterogeneous Federated Learning with Prototype Alignment and Upscaling. - Gyuejeong Lee; Jihwan Shin; Daeyoung Choi (CoRR, 2025)