3 papers
cs.CR2025
Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study
Mathew J. Walter, Aaron Barrett, Kimberly Tam
Adversarial artificial intelligence (AI) attacks pose a significant threat to autonomous transportation, such as maritime vessels, that rely on AI components. Malicious actors can…
cs.CR2023
A Red Teaming Framework for Securing AI in Maritime Autonomous Systems
Mathew J. Walter, Aaron Barrett, Kimberly Tam
Artificial intelligence (AI) is being ubiquitously adopted to automate processes in science and industry. However, due to its often intricate and opaque nature, AI has been shown t…
cs.NE2020
Visualising Evolution History in Multi- and Many-Objective Optimisation
Mathew Walter, David Walker, Matthew Craven
Evolutionary algorithms are widely used to solve optimisation problems. However, challenges of transparency arise in both visualising the processes of an optimiser operating throug…