Lachlan Simpson

According to our database, Lachlan Simpson authored at least 10 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

Riemannian Integrated Gradients: A Geometric View of Explainable AI.

Federico Costanza, Lachlan Simpson

Proceedings of the Geometric Science of Information - 7th International Conference, 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

2018

Solving the Problem of the "Gender Offenders": Using Criminal Network Analysis to Optimize Openness in Male Dominated Collaborative Networks.

Deb Verhoeven, Katarzyna Musial, Stuart Palmer, Sarah Taylor, Lachlan Simpson, Vejune Zemaityte, Shaukat R. Abidi

Proceedings of the 13th Annual International Conference of the Alliance of Digital Humanities Organizations, 2018