| 2025 | PRDC | Dependable Code Repair with LLMs: AI-Driven Vulnerability Detection and Automated Patching. | Sungmin Han, Hyoungshick Kim, Hojoon Lee, Hyungon Moon, Yuseok Jeon, Ho Bae, Donghyun Yeo, Gail-Joon Ahn, Sangkyun Lee |
| 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 |
| 2024 | ICLR | DAFA: Distance-Aware Fair Adversarial Training. | Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon |
| 2023 | ESORICS | FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models. | Younghan Lee, Yungi Cho, Woorim Han, Ho Bae, Yunheung Paek |
| 2023 | ICLR | New Insights for the Stability-Plasticity Dilemma in Online Continual Learning. | Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon |
| 2023 | RAID | Exploring Clustered Federated Learning's Vulnerability against Property Inference Attack. | Hyunjun Kim, Yungi Cho, Younghan Lee, Ho Bae, Yunheung Paek |
| 2022 | BMVC | Membership Privacy-Preserving GAN. | Heonseok Ha, Uiwon Hwang, Jaehee Jang, Ho Bae, Sungroh Yoon |
| 2020 | PSB | AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data. | Ho Bae, Dahuin Jung, Hyun-Soo Choi, Sungroh Yoon |
| 2019 | PSB | DNA Steganalysis Using Deep Recurrent Neural Networks. | Ho Bae, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon |
| 2018 | AAAI | Quantized Memory-Augmented Neural Networks. | Seongsik Park, Sei Joon Kim, Seil Lee, Ho Bae, Sungroh Yoon |