| 2024 | ESORICS | VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification. | Yungi Cho, Woorim Han, Miseon Yu, Younghan Lee, Ho Bae, Yunheung Paek |
| 2023 | ESORICS | FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models. | Younghan Lee, Yungi Cho, Woorim Han, Ho Bae, Yunheung Paek |
| 2023 | RAID | Exploring Clustered Federated Learning's Vulnerability against Property Inference Attack. | Hyunjun Kim, Yungi Cho, Younghan Lee, Ho Bae, Yunheung Paek |
| 2022 | ESORICS | Precise Extraction of Deep Learning Models via Side-Channel Attacks on Edge/Endpoint Devices. | Younghan Lee, Sohee Jun, Yungi Cho, Woorim Han, Hyungon Moon, Yunheung Paek |
| 2020 | DAC | Hawkware: Network Intrusion Detection based on Behavior Analysis with ANNs on an IoT Device. | Sunwoo Ahn, Hayoon Yi, Younghan Lee, Whoi Ree Ha, Giyeol Kim, Yunheung Paek |
| 2019 | DATE | RiskiM: Toward Complete Kernel Protection with Hardware Support. | Dongil Hwang, Myonghoon Yang, Seongil Jeon, Younghan Lee, Donghyun Kwon, Yunheung Paek |