118 citations · 258 across the 20 of their papers we have counts for
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cs.LG2023
The race to robustness: exploiting fragile models for urban camouflage and the imperative for machine learning security
Harriet Farlow, Matthew Garratt, Gavin Mount +1
Adversarial Machine Learning (AML) represents the ability to disrupt Machine Learning (ML) algorithms through a range of methods that broadly exploit the architecture of deep learn…
cs.MA2023
Coverage Path Planning with Budget Constraints for Multiple Unmanned Ground Vehicles
Vu Phi Tran, Asanka Perera, Matthew A. Garratt +2
This paper proposes a state-machine model for a multi-modal, multi-robot environmental sensing algorithm. This multi-modal algorithm integrates two different exploration algorithms…