Learning Cascaded Reduced-Set SVMs Using Linear Programming. - Junae Kim; Chunhua Shen; Lei Wang 001 (DICTA, 2008)

A Scalable Algorithm for Learning a Mahalanobis Distance Metric. - Junae Kim; Chunhua Shen; Lei Wang 001 (ACCV (3), 2009)

Positive Semidefinite Metric Learning with Boosting. - Chunhua Shen; Junae Kim; Lei Wang 001; Anton van den Hengel (NIPS, 2009)

Generalized Kernel-Based Visual Tracking. - Chunhua Shen; Junae Kim; Hanzi Wang (IEEE Trans. Circuits Syst. Video Technol., 2010)

Scalable large-margin Mahalanobis distance metric learning. - Chunhua Shen; Junae Kim; Lei Wang 001 (IEEE Trans. Neural Networks, 2010)

Efficiently Learning a Distance Metric for Large Margin Nearest Neighbor Classification. - Kyoungup Park; Chunhua Shen; Zhihui Hao; Junae Kim (AAAI, 2011)

A scalable dual approach to semidefinite metric learning. - Chunhua Shen; Junae Kim; Lei Wang 001 (CVPR, 2011)

The role of vision processing in prosthetic vision. - Nick Barnes; Xuming He 001; Chris McCarthy; Lachlan Horne; Junae Kim; Adele F. Scott; Paulette Lieby (EMBC, 2012)

An face-based visual fixation system for prosthetic vision. - Xuming He 001; Junae Kim; Nick Barnes (EMBC, 2012)

Positive Semidefinite Metric Learning Using Boosting-like Algorithms. - Chunhua Shen; Junae Kim; Lei Wang 001; Anton van den Hengel (J. Mach. Learn. Res., 2012)

An Efficient Dual Approach to Distance Metric Learning - Chunhua Shen; Junae Kim; Fayao Liu; Lei Wang 001; Anton van den Hengel (CoRR, 2013)

Efficient Dual Approach to Distance Metric Learning. - Chunhua Shen; Junae Kim; Fayao Liu; Lei Wang 001; Anton van den Hengel (IEEE Trans. Neural Networks Learn. Syst., 2014)

An efficient semi-supervised SVM for anomaly detection. - Paul Montague; Junae Kim (IJCNN, 2017)

Towards Attention Based Vulnerability Discovery Using Source Code Representation. - Junae Kim; David Hubczenko; Paul Montague (ICANN (4), 2019)

CybORG: An Autonomous Cyber Operations Research Gym. - Callum Baillie; Maxwell Standen; Jonathon Schwartz; Michael Docking; David Bowman; Junae Kim (CoRR, 2020)

CybORG: A Gym for the Development of Autonomous Cyber Agents. - Maxwell Standen; Martin Lucas; David Bowman; Toby J. Richer; Junae Kim; Damian Marriott (CoRR, 2021)

Deep hierarchical reinforcement agents for automated penetration testing. - Khuong Tran; Ashlesha Akella; Maxwell Standen; Junae Kim; David Bowman; Toby Richer; Chin-Teng Lin (CoRR, 2021)

Multi-Agent Data Collection in Non-Stationary Environments. - Nhat Nguyen; Duong Nguyen; Junae Kim; Gianluca Rizzo; Hung Nguyen 004 (WoWMoM, 2022)

Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets. - Jiahui Zhou; Nayyar Abbas Zaidi; Yishuo Zhang; Paul Montague; Junae Kim; Gang Li 009 (PAKDD (1), 2023)

SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning. - Maxwell Standen; Junae Kim; Claudia Szabo (CoRR, 2023)

EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection. - Shigang Liu; Di Cao; Junae Kim; Tamas Abraham; Paul Montague; Seyit Camtepe; Jun Zhang 010; Yang Xiang 001 (USENIX Security Symposium, 2024)

Adversarial Robustness on Image Classification With k-Means. - Rollin Omari; Junae Kim; Paul Montague (IEEE Access, 2024)

A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles. - Junae Kim; Amardeep Kaur (CoRR, 2024)

Decentralized Coordination for Multi-Agent Data Collection in Dynamic Environments. - Nhat Nguyen; Duong Nguyen; Junae Kim; Gianluca Rizzo; Hung X. Nguyen (IEEE Trans. Mob. Comput., 2024)

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them. - Anh Tuan Bui; Thuy-Trang Vu; Long Tung Vuong; Trung Le 001; Paul Montague; Tamas Abraham; Junae Kim; Dinh Phung 001 (ICLR, 2025)

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them. - Anh Bui; Trang Vu; Tung-Long Vuong; Trung Le 001; Paul Montague; Tamas Abraham; Junae Kim; Dinh Q. Phung (CoRR, 2025)

Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning. - Maxwell Standen; Junae Kim; Claudia Szabo (ACM Comput. Surv., 2025)

Mitigating Semantic Collapse in Generative Personalization with a Surprisingly Simple Test-Time Embedding Adjustment. - Anh Bui; Trang Vu; Trung Le 001; Junae Kim; Tamas Abraham; Rollin Omari; Amar Kaur; Dinh Q. Phung (CoRR, 2025)