Abigail M. Y. Koay

According to our database, Abigail M. Y. Koay authored at least 16 papers between 2018 and 2024.

Collaborative distances:

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

2024

AI hype as a cyber security risk: the moral responsibility of implementing generative AI in business.

Declan Humphreys, Abigail M. Y. Koay, Dennis Desmond, Erica Mealy

AI Ethics, August, 2024

Mining Irregular Time Series Data with Noisy Labels: A Risk Estimation Approach.

Kun Han, Abigail M. Y. Koay, Ryan K. L. Ko, Weitong Chen, Miao Xu

Proceedings of the Databases Theory and Applications, 2024

2023

Machine learning in industrial control system (ICS) security: current landscape, opportunities and challenges.

Abigail M. Y. Koay, Ryan K. L. Ko, Hinne Hettema, Kenneth Radke

J. Intell. Inf. Syst., April, 2023

2022

Benchmarking and learning garbage collection delays for resource-restricted graphical user interfaces.

Harry McCarthy, Abigail M. Y. Koay, Michael Dawson, Kenneth B. Kent, Panos Patros

Softw. Pract. Exp., 2022

Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization.

Jonathan Wilton, Abigail M. Y. Koay, Ryan K. L. Ko, Miao Xu, Nan Ye

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Domain Generalisation for Glaucoma Detection in Retinal Images from Unseen Fundus Cameras.

Hansi Gunasinghe, James McKelvie, Abigail M. Y. Koay, Michael Mayo

Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

2021

SDGen: A Scalable, Reproducible and Flexible Approach to Generate Real World Cyber Security Datasets.

Abigail M. Y. Koay, Miao Xie, Ryan K. L. Ko, Charles Sterner, Taejun Choi, Naipeng Dong

Proceedings of the Ubiquitous Security - First International Conference, 2021

Plan2Defend: AI Planning for Cybersecurity in Smart Grids.

Taejun Choi, Ryan K. L. Ko, Tapan Kumar Saha, Joshua D. Scarsbrook, Abigail M. Y. Koay, Shunyao Wang, Wenlu Zhang, Connor St Clair

Proceedings of the 2021 IEEE PES Innovative Smart Grid Technologies, 2021

Comparison Of Pretrained Feature Extractors For Glaucoma Detection.

Hansi Gunasinghe, James McKelvie, Abigail M. Y. Koay, Michael Mayo

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Embedding Java Classes with code2vec: Improvements from Variable Obfuscation.

Rhys Compton, Eibe Frank, Panos Patros, Abigail M. Y. Koay

Proceedings of the MSR '20: 17th International Conference on Mining Software Repositories, 2020

In Silico Comparison of Continuous Glucose Monitor Failure Mode Strategies for an Artificial Pancreas.

Yunjie Lisa Lu, Abigail M. Y. Koay, Michael Mayo

Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020

2019

Detecting High and Low Intensity Distributed Denial of Service (DDoS) Attacks.

Abigail M. Y. Koay

PhD thesis, 2019

Maintaining SLOs of Cloud-Native Applications Via Self-Adaptive Resource Sharing.

Vladimir Podolskiy, Michael Mayo, Abigail M. Y. Koay, Michael Gerndt, Panos Patros

Proceedings of the 13th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2019

(Short Paper) Effectiveness of Entropy-Based Features in High- and Low-Intensity DDoS Attacks Detection.

Abigail M. Y. Koay, Ian Welch, Winston K. G. Seah

Proceedings of the Advances in Information and Computer Security, 2019

2018

Fog-Assisted SDN Controlled Framework for Enduring Anomaly Detection in an IoT Network.

Qaisar B. Shafi, Abdul Basit, Saad B. Qaisar, Abigail M. Y. Koay, Ian Welch

IEEE Access, 2018

A new multi classifier system using entropy-based features in DDoS attack detection.

Abigail M. Y. Koay, Aaron Chen, Ian Welch, Winston K. G. Seah

Proceedings of the 2018 International Conference on Information Networking, 2018