Junae Kim

According to our database, Junae Kim authored at least 23 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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., December, 2024

Adversarial Robustness on Image Classification With k-Means.

Rollin Omari, Junae Kim, Paul Montague

IEEE Access, 2024

EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection.

Shigang Liu, Di Cao, Junae Kim, Tamas Abraham, Paul Montague, Seyit Camtepe, Jun Zhang, Yang Xiang

Proceedings of the 33rd USENIX Security Symposium, 2024

2023

SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning.

Maxwell Standen, Junae Kim, Claudia Szabo

CoRR, 2023

Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets.

Jiahui Zhou, Nayyar Abbas Zaidi, Yishuo Zhang, Paul Montague, Junae Kim, Gang Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022

Multi-Agent Data Collection in Non-Stationary Environments.

Nhat Nguyen, Duong Nguyen, Junae Kim, Gianluca Rizzo, Hung Nguyen

Proceedings of the 23rd IEEE International Symposium on a World of Wireless, 2022

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

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

2020

CybORG: An Autonomous Cyber Operations Research Gym.

Callum Baillie, Maxwell Standen, Jonathon Schwartz, Michael Docking, David Bowman, Junae Kim

CoRR, 2020

2019

Towards Attention Based Vulnerability Discovery Using Source Code Representation.

Junae Kim, David Hubczenko, Paul Montague

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

2017

An efficient semi-supervised SVM for anomaly detection.

Paul Montague, Junae Kim

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2014

Efficient Dual Approach to Distance Metric Learning.

Chunhua Shen, Junae Kim, Fayao Liu, Lei Wang, Anton van den Hengel

IEEE Trans. Neural Networks Learn. Syst., 2014

2013

An Efficient Dual Approach to Distance Metric Learning

Chunhua Shen, Junae Kim, Fayao Liu, Lei Wang, Anton van den Hengel

CoRR, 2013

2012

Positive Semidefinite Metric Learning Using Boosting-like Algorithms.

Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel

J. Mach. Learn. Res., 2012

An face-based visual fixation system for prosthetic vision.

Xuming He, Junae Kim, Nick Barnes

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

The role of vision processing in prosthetic vision.

Nick Barnes, Xuming He, Chris McCarthy, Lachlan Horne, Junae Kim, Adele F. Scott, Paulette Lieby

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

A scalable dual approach to semidefinite metric learning.

Chunhua Shen, Junae Kim, Lei Wang

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Efficiently Learning a Distance Metric for Large Margin Nearest Neighbor Classification.

Kyoungup Park, Chunhua Shen, Zhihui Hao, Junae Kim

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Scalable large-margin Mahalanobis distance metric learning.

Chunhua Shen, Junae Kim, Lei Wang

IEEE Trans. Neural Networks, 2010

Generalized Kernel-Based Visual Tracking.

Chunhua Shen, Junae Kim, Hanzi Wang

IEEE Trans. Circuits Syst. Video Technol., 2010

2009

Positive Semidefinite Metric Learning with Boosting.

Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

A Scalable Algorithm for Learning a Mahalanobis Distance Metric.

Junae Kim, Chunhua Shen, Lei Wang

Proceedings of the Computer Vision, 2009

2008

Learning Cascaded Reduced-Set SVMs Using Linear Programming.

Junae Kim, Chunhua Shen, Lei Wang

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2008