Kyle Millar

According to our database, Kyle Millar authored at least 12 papers between 2018 and 2025.

Collaborative distances:

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

2025

Algebraic Adversarial Attacks on Explainability Models.

Lachlan Simpson, Federico Costanza, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew

CoRR, March, 2025

Graph-Based Integrated Gradients for Explaining Graph Neural Networks.

Lachlan Simpson, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew

Proceedings of the AI 2025: Advances in Artificial Intelligence, 2025

Probabilistic Lipschitzness and the Stable Rank for Measuring XAI Model Robustness.

Lachlan Simpson, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew

Proceedings of the AI 2025: Advances in Artificial Intelligence, 2025

2024

Probabilistic Lipschitzness and the Stable Rank for Comparing Explanation Models.

Lachlan Simpson, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew

CoRR, 2024

Algebraic Adversarial Attacks on Integrated Gradients.

Lachlan Simpson, Federico Costanza, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew

Proceedings of the International Conference on Machine Learning and Cybernetics, 2024

Tangentially Aligned Integrated Gradients for User-Friendly Explanations.

Lachlan Simpson, Federico Costanza, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew

Proceedings of The 32nd Irish Conference on Artificial Intelligence and Cognitive Science, 2024

2023

A Testbed for Automating and Analysing Mobile Devices and Their Applications.

Lachlan Simpson, Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

2021

Detecting Botnet Victims Through Graph-Based Machine Learning.

Kyle Millar, Lachlan Simpson, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim

Proceedings of the International Conference on Machine Learning and Cybernetics, 2021

Clustering Network-Connected Devices Using Affiliation Graphs.

Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim

Proceedings of the International Conference on Machine Learning and Cybernetics, 2021

2020

Characterising Network-Connected Devices Using Affiliation Graphs.

Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim

Proceedings of the NOMS 2020, 2020

Operating System Classification: A Minimalist Approach.

Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim

Proceedings of the International Conference on Machine Learning and Cybernetics, 2020

2018

Deep Learning for Classifying Malicious Network Traffic.

Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018