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2020 – today
- 2024
[j6]Rollin Omari
, Junae Kim, Paul Montague:
Adversarial Robustness on Image Classification With k-Means. IEEE Access 12: 28853-28859 (2024)- [j5]Nhat Nguyen, Duong Nguyen, Junae Kim, Gianluca Rizzo, Hung X. Nguyen:
Decentralized Coordination for Multi-Agent Data Collection in Dynamic Environments. IEEE Trans. Mob. Comput. 23(12): 13963-13978 (2024) - [c12]Shigang Liu, Di Cao, Junae Kim, Tamas Abraham, Paul Montague, Seyit Camtepe, Jun Zhang, Yang Xiang:
EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection. USENIX Security Symposium 2024 - [i11]Shigang Liu, Di Cao, Junae Kim, Tamas Abraham, Paul Montague, Seyit Camtepe, Jun Zhang, Yang Xiang:
EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection. CoRR abs/2407.19216 (2024) - 2023
- [c11]Jiahui Zhou, Nayyar Abbas Zaidi, Yishuo Zhang, Paul Montague, Junae Kim, Gang Li:
Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets. PAKDD (1) 2023: 147-158 - [i10]Maxwell Standen, Junae Kim, Claudia Szabo:
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning. CoRR abs/2301.04299 (2023) - [i9]Rollin Omari, Junae Kim, Paul Montague:
Adversarial Robustness on Image Classification with k-means. CoRR abs/2312.09533 (2023) - 2022
- [c10]Nhat Nguyen, Duong Nguyen, Junae Kim, Gianluca Rizzo, Hung Nguyen:
Multi-Agent Data Collection in Non-Stationary Environments. WoWMoM 2022: 120-129 - 2021
- [i8]Maxwell Standen, Martin Lucas, David Bowman, Toby J. Richer, Junae Kim, Damian Marriott:
CybORG: A Gym for the Development of Autonomous Cyber Agents. CoRR abs/2108.09118 (2021) - [i7]Khuong Tran, Ashlesha Akella, Maxwell Standen, Junae Kim, David Bowman, Toby Richer, Chin-Teng Lin:
Deep hierarchical reinforcement agents for automated penetration testing. CoRR abs/2109.06449 (2021) - 2020
- [i6]Callum Baillie, Maxwell Standen, Jonathon Schwartz, Michael Docking, David Bowman, Junae Kim:
CybORG: An Autonomous Cyber Operations Research Gym. CoRR abs/2002.10667 (2020)
2010 – 2019
- 2019
- [c9]Junae Kim, David Hubczenko, Paul Montague:
Towards Attention Based Vulnerability Discovery Using Source Code Representation. ICANN (4) 2019: 731-746 - 2017
- [c8]Paul Montague, Junae Kim:
An efficient semi-supervised SVM for anomaly detection. IJCNN 2017: 2843-2850 - 2014
- [j4]Chunhua Shen, Junae Kim, Fayao Liu, Lei Wang, Anton van den Hengel:
Efficient Dual Approach to Distance Metric Learning. IEEE Trans. Neural Networks Learn. Syst. 25(2): 394-406 (2014) - 2013
- [i5]Chunhua Shen, Junae Kim, Fayao Liu, Lei Wang, Anton van den Hengel:
An Efficient Dual Approach to Distance Metric Learning. CoRR abs/1302.3219 (2013) - 2012
- [j3]Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel:
Positive Semidefinite Metric Learning Using Boosting-like Algorithms. J. Mach. Learn. Res. 13: 1007-1036 (2012) - [c7]Nick Barnes, Xuming He, Chris McCarthy, Lachlan Horne, Junae Kim, Adele F. Scott, Paulette Lieby:
The role of vision processing in prosthetic vision. EMBC 2012: 308-311 - [c6]Xuming He, Junae Kim, Nick Barnes:
An face-based visual fixation system for prosthetic vision. EMBC 2012: 2981-2984 - 2011
- [c5]Kyoungup Park, Chunhua Shen, Zhihui Hao, Junae Kim:
Efficiently Learning a Distance Metric for Large Margin Nearest Neighbor Classification. AAAI 2011: 453-458 - [c4]Chunhua Shen, Junae Kim, Lei Wang:
A scalable dual approach to semidefinite metric learning. CVPR 2011: 2601-2608 - [i4]Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel:
Positive Semidefinite Metric Learning Using Boosting-like Algorithms. CoRR abs/1104.4704 (2011) - 2010
- [j2]Chunhua Shen, Junae Kim, Hanzi Wang:
Generalized Kernel-Based Visual Tracking. IEEE Trans. Circuits Syst. Video Technol. 20(1): 119-130 (2010) - [j1]Chunhua Shen, Junae Kim, Lei Wang:
Scalable large-margin Mahalanobis distance metric learning. IEEE Trans. Neural Networks 21(9): 1524-1530 (2010) - [i3]Chunhua Shen, Junae Kim, Lei Wang:
Scalable Large-Margin Mahalanobis Distance Metric Learning. CoRR abs/1003.0487 (2010)
2000 – 2009
- 2009
- [c3]Junae Kim, Chunhua Shen, Lei Wang:
A Scalable Algorithm for Learning a Mahalanobis Distance Metric. ACCV (3) 2009: 299-310 - [c2]Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel:
Positive Semidefinite Metric Learning with Boosting. NIPS 2009: 1651-1659 - [i2]Chunhua Shen, Junae Kim, Hanzi Wang:
Generalized Kernel-based Visual Tracking. CoRR abs/0905.2463 (2009) - [i1]Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel:
Positive Semidefinite Metric Learning with Boosting. CoRR abs/0910.2279 (2009) - 2008
- [c1]Junae Kim, Chunhua Shen, Lei Wang:
Learning Cascaded Reduced-Set SVMs Using Linear Programming. DICTA 2008: 619-626
Coauthor Index
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