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20182026
most citedA Fast, Spectrally Accurate Homotopy Based Numerical Method For Solving Nonlinear Differential Equations

14 citations · 33 across the 18 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

physics.soc-ph2023★ 1 cited

Game-Theoretic Analysis of Adversarial Decision Making in a Complex Sociophysical System

Andrew C. Cullen, Tansu Alpcan, Alexander C. Kalloniatis

We apply Game Theory to a mathematical representation of two competing teams of agents connected within a complex network, where the ability of each side to manoeuvre their resourc…

cs.LG2023

It's Simplex! Disaggregating Measures to Improve Certified Robustness

Andrew C. Cullen, Paul Montague, Shijie Liu +2

Certified robustness circumvents the fragility of defences against adversarial attacks, by endowing model predictions with guarantees of class invariance for attacks up to a calcul…

cs.LG2023★ 2 cited

Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks

Shijie Liu, Andrew C. Cullen, Paul Montague +2

Poisoning attacks can disproportionately influence model behaviour by making small changes to the training corpus. While defences against specific poisoning attacks do exist, they…

physics.flu-dyn2023

Exponential and algebraic decaying solitary waves and their connection to hydraulic fall solutions

Keith C. H. Chan, Andrew C. Cullen, Simon R. Clarke

The forced Korteweg-de Vries (fKdV) equation describes incompressible inviscid free surface flows over some arbitrary topography. We investigate solitary and hydraulic fall solutio…

cs.LG2023★ 1 cited

Failure-tolerant Distributed Learning for Anomaly Detection in Wireless Networks

Marc Katzef, Andrew C. Cullen, Tansu Alpcan +2

The analysis of distributed techniques is often focused upon their efficiency, without considering their robustness (or lack thereof). Such a consideration is particularly importan…

cs.LG2023★ 1 cited

Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples

Andrew C. Cullen, Shijie Liu, Paul Montague +2

In guaranteeing the absence of adversarial examples in an instance's neighbourhood, certification mechanisms play an important role in demonstrating neural net robustness. In this…