Extended Abstract: Mimicry Resilient Program Behavior Modeling with LSTM based Branch Models. - Hayoon Yi; Gyuwan Kim; Jangho Lee 002; Sunwoo Ahn; Younghan Lee 001; Sungroh Yoon; Yunheung Paek (CoRR, 2018)

RiskiM: Toward Complete Kernel Protection with Hardware Support. - Dongil Hwang; Myonghoon Yang; Seongil Jeon; Younghan Lee 001; Donghyun Kwon; Yunheung Paek (DATE, 2019)

Hawkware: Network Intrusion Detection based on Behavior Analysis with ANNs on an IoT Device. - Sunwoo Ahn; Hayoon Yi; Younghan Lee 001; Whoi Ree Ha; Giyeol Kim; Yunheung Paek (DAC, 2020)

Learn2Evade: Learning-Based Generative Model for Evading PDF Malware Classifiers. - Ho Bae; Younghan Lee 001; Yohan Kim; Uiwon Hwang; Sungroh Yoon; Yunheung Paek (IEEE Trans. Artif. Intell., 2021)

Precise Extraction of Deep Learning Models via Side-Channel Attacks on Edge/Endpoint Devices. - Younghan Lee 001; Sohee Jun; Yungi Cho; Woorim Han; Hyungon Moon; Yunheung Paek (ESORICS (3), 2022)

FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models. - Younghan Lee 001; Yungi Cho; Woorim Han; Ho Bae; Yunheung Paek (ESORICS (4), 2023)

Exploring Clustered Federated Learning's Vulnerability against Property Inference Attack. - Hyunjun Kim; Yungi Cho; Younghan Lee 001; Ho Bae; Yunheung Paek (RAID, 2023)

VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification. - Yungi Cho; Woorim Han; Miseon Yu; Younghan Lee 001; Ho Bae; Yunheung Paek (ESORICS (4), 2024)

Rethinking the Capability of Fine-Tuned Language Models for Automated Vulnerability Repair. - Woorim Han; Yeongjun Kwak; Miseon Yu; Kyeongmin Kim; Younghan Lee 001; Hyungon Moon; Yunheung Paek (CoRR, 2025)