Poster Abstract: Encrypted Malware Traffic Detection Using Incremental Learning. - Insup Lee 002; Heejun Roh; Wonjun Lee 001 (INFOCOM Workshops, 2020)

UniQGAN: Unified Generative Adversarial Networks for Augmented Modulation Classification. - Insup Lee 002; Wonjun Lee 001 (IEEE Commun. Lett., 2022)

BAN: Predicting APT Attack Based on Bayesian Network With MITRE ATT&CK Framework. - Youngjoon Kim; Insup Lee 002; Hyuk Kwon; Kyeongsik Lee; Ji Won Yoon (IEEE Access, 2023)

Exploiting TTP Co-Occurrence via GloVe-Based Embedding With MITRE ATT&CK Framework. - Chanho Shin; Insup Lee 002; Changhee Choi (IEEE Access, 2023)

Camp2Vec: Embedding cyber campaign with ATT&CK framework for attack group analysis. - Insup Lee 002; Changhee Choi (ICT Express, 2023)

UniQGAN: Towards Improved Modulation Classification With Adversarial Robustness Using Scalable Generator Design. - Insup Lee 002; Wonjun Lee 001 (IEEE Trans. Dependable Secur. Comput., 2024)

Enhancing Modulation Classification via Diffusion Transformers for Drone Video Signal Processing. - Insup Lee 002; Khalifa Alteneiji; Mohammed Alghfeli (IEEE Signal Process. Lett., 2025)

MuCamp: Generating Cyber Campaign Variants via TTP Synonym Replacement for Group Attribution. - Insup Lee 002; Changhee Choi (IEEE Trans. Inf. Forensics Secur., 2025)