| 2025 | ICLR | Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them. | Anh Tuan Bui, Thuy-Trang Vu, Long Tung Vuong, Trung Le, Paul Montague, Tamas Abraham, Junae Kim, Dinh Phung |
| 2023 | PAKDD | Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets. | Jiahui Zhou, Nayyar Abbas Zaidi, Yishuo Zhang, Paul Montague, Junae Kim, Gang Li |
| 2022 | WoWMoM | Multi-Agent Data Collection in Non-Stationary Environments. | Nhat Nguyen, Duong Nguyen, Junae Kim, Gianluca Rizzo, Hung Nguyen |
| 2019 | ICANN | Towards Attention Based Vulnerability Discovery Using Source Code Representation. | Junae Kim, David Hubczenko, Paul Montague |
| 2017 | IJCNN | An efficient semi-supervised SVM for anomaly detection. | Paul Montague, Junae Kim |
| 2011 | AAAI | Efficiently Learning a Distance Metric for Large Margin Nearest Neighbor Classification. | Kyoungup Park, Chunhua Shen, Zhihui Hao, Junae Kim |
| 2011 | CVPR | A scalable dual approach to semidefinite metric learning. | Chunhua Shen, Junae Kim, Lei Wang |
| 2009 | ACCV | A Scalable Algorithm for Learning a Mahalanobis Distance Metric. | Junae Kim, Chunhua Shen, Lei Wang |
| 2008 | DICTA | Learning Cascaded Reduced-Set SVMs Using Linear Programming. | Junae Kim, Chunhua Shen, Lei Wang |