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 (ESORICS (3), 2022)

Sfitag: Efficient Software Fault Isolation with Memory Tagging for ARM Kernel Extensions. - Jiwon Seo; Junseung You; Yungi Cho; Yeongpil Cho; Donghyun Kwon; Yunheung Paek (AsiaCCS, 2023)

FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models. - Younghan Lee; 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; Ho Bae; Yunheung Paek (RAID, 2023)

Exploring effective uses of the tagged memory for reducing bounds checking overheads. - Jiwon Seo; Inyoung Bang; Yungi Cho; Jangseop Shin; Dongil Hwang; Donghyun Kwon; Yeongpil Cho; Yunheung Paek (J. Supercomput., 2023)

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