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 (DH, 2018)

Detecting Botnet Victims Through Graph-Based Machine Learning. - Kyle Millar; Lachlan Simpson; Adriel Cheng; Hong Gunn Chew; Cheng-Chew Lim (ICMLC, 2021)

A Testbed for Automating and Analysing Mobile Devices and Their Applications. - Lachlan Simpson; Kyle Millar; Adriel Cheng; Hong Gunn Chew; Cheng-Chew Lim (ICMLC, 2023)

Tangentially Aligned Integrated Gradients for User-Friendly Explanations. - Lachlan Simpson; Federico Costanza; Kyle Millar; Adriel Cheng; Cheng-Chew Lim; Hong Gunn Chew (AICS, 2024)

Algebraic Adversarial Attacks on Integrated Gradients. - Lachlan Simpson; Federico Costanza; Kyle Millar; Adriel Cheng; Cheng-Chew Lim; Hong Gunn Chew (ICMLC, 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)

Riemannian Integrated Gradients: A Geometric View of Explainable AI. - Federico Costanza; Lachlan Simpson (CoRR, 2025)

Algebraic Adversarial Attacks on Explainability Models. - Lachlan Simpson; Federico Costanza; Kyle Millar; Adriel Cheng; Cheng-Chew Lim; Hong Gunn Chew (CoRR, 2025)