Abigail M. Y. Koay

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 5

Top Topics

Positive And Unlabeled Examples

Risk Minimization

Top Venues

Publications

Abigail M. Y. Koay, Ryan K. L. Ko, Hinne Hettema, Kenneth Radke
Machine learning in industrial control system (ICS) security: current landscape, opportunities and challenges. J. Intell. Inf. Syst. 60 (2) (2023)
Jonathan Wilton, Abigail M. Y. Koay, Ryan Ko, Miao Xu, Nan Ye
Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization. NeurIPS (2022)
Jonathan Wilton, Abigail M. Y. Koay, Ryan K. L. Ko, Miao Xu, Nan Ye
Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization. CoRR (2022)
Taejun Choi, Ryan K. L. Ko, Tapan Kumar Saha, Joshua D. Scarsbrook, Abigail M. Y. Koay, Shunyao Wang, Wenlu Zhang, Connor St Clair
Plan2Defend: AI Planning for Cybersecurity in Smart Grids. ISGT Asia (2021)
Abigail M. Y. Koay, Miao Xie, Ryan K. L. Ko, Charles Sterner, Taejun Choi, Naipeng Dong
SDGen: A Scalable, Reproducible and Flexible Approach to Generate Real World Cyber Security Datasets. UbiSec (2021)