Lachlan Simpson

15 papers Misc 3Journal 7Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Algebraic Adversarial Attacks on Explainability Models. CoRR Lachlan Simpson, Federico Costanza, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew
2025	—	`conf`	Graph-Based Integrated Gradients for Explaining Graph Neural Networks. AI (1) Lachlan Simpson, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew
2025	J	`jnl`	Graph-based Integrated Gradients for Explaining Graph Neural Networks. CoRR Lachlan Simpson, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew
2025	—	`conf`	Probabilistic Lipschitzness and the Stable Rank for Measuring XAI Model Robustness. AI (1) Lachlan Simpson, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew
2025	—	`conf`	Riemannian Integrated Gradients: A Geometric View of Explainable AI. GSI (1) Federico Costanza, Lachlan Simpson
2025	J	`jnl`	Riemannian Integrated Gradients: A Geometric View of Explainable AI. CoRR Federico Costanza, Lachlan Simpson
2025	J	`jnl`	Tangentially Aligned Integrated Gradients for User-Friendly Explanations. CoRR Lachlan Simpson, Federico Costanza, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew
2024	Misc	`conf`	Algebraic Adversarial Attacks on Integrated Gradients. ICMLC Lachlan Simpson, Federico Costanza, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew
2024	J	`jnl`	Algebraic Adversarial Attacks on Integrated Gradients. CoRR Lachlan Simpson, Federico Costanza, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew
2024	J	`jnl`	Probabilistic Lipschitzness and the Stable Rank for Comparing Explanation Models. CoRR Lachlan Simpson, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew
2024	—	`conf`	Tangentially Aligned Integrated Gradients for User-Friendly Explanations. AICS Lachlan Simpson, Federico Costanza, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew
2023	Misc	`conf`	A Testbed for Automating and Analysing Mobile Devices and Their Applications. ICMLC Lachlan Simpson, Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim
2023	J	`jnl`	A Testbed for Automating and Analysing Mobile Devices and their Applications. CoRR Lachlan Simpson, Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim
2021	Misc	`conf`	Detecting Botnet Victims Through Graph-Based Machine Learning. ICMLC Kyle Millar, Lachlan Simpson, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim
2018	—	`conf`	Solving the Problem of the "Gender Offenders": Using Criminal Network Analysis to Optimize Openness in Male Dominated Collaborative Networks. DH Deb Verhoeven, Katarzyna Musial, Stuart Palmer, Sarah Taylor, Lachlan Simpson, Vejune Zemaityte, Shaukat R. Abidi