Andrew C. Cullen

According to our database, Andrew C. Cullen authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

It's Simplex! Disaggregating Measures to Improve Certified Robustness.

Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples.

Andrew C. Cullen, Shijie Liu, Paul Montague, Sarah Monazam Erfani, Benjamin I. P. Rubinstein

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Predicting dynamic spectrum allocation: a review covering simulation, modelling, and prediction.

Andrew C. Cullen, Benjamin I. P. Rubinstein, Sithamparanathan Kandeepan, Barry Flower, Philip H. W. Leong

Artif. Intell. Rev., October, 2023

Failure-tolerant Distributed Learning for Anomaly Detection in Wireless Networks.

Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz

CoRR, 2023

Exploiting Certified Defences to Attack Randomised Smoothing.

Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein

CoRR, 2023

Robust Wireless Network Anomaly Detection with Collaborative Adversarial Autoencoders.

Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie

Proceedings of the IEEE International Conference on Communications, 2023

Quantisation Effects in Adversarial Cyber-Physical Games.

Takuma Adams, Andrew C. Cullen, Tansu Alpcan

Proceedings of the Decision and Game Theory for Security: 14th International Conference, 2023

An Adversarial Strategic Game for Machine Learning as a Service using System Features.

Guoxin Sun, Tansu Alpcan, Seyit Camtepe, Andrew C. Cullen, Benjamin I. P. Rubinstein

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks.

Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Adversarial Decisions on Complex Dynamical Systems using Game Theory.

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

CoRR, 2022

Generative Adversarial Networks for anomaly detection on decentralised data.

Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie

Annu. Rev. Control., 2022

Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity.

Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Wireless Network Simulation to Create Machine Learning Benchmark Data.

Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz

Proceedings of the IEEE Global Communications Conference, 2022

2021

Domain-Aware Multiagent Reinforcement Learning in Navigation.

Ifrah Saeed, Andrew C. Cullen, Sarah M. Erfani, Tansu Alpcan

Proceedings of the International Joint Conference on Neural Networks, 2021

Privacy-Preserving Collaborative SDR Networks for Anomaly Detection.

Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz

Proceedings of the ICC 2021, 2021

2020

Distributed Generative Adversarial Networks for Anomaly Detection.

Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz

Proceedings of the Decision and Game Theory for Security - 11th International Conference, 2020

2019

A novel numerical solver for nonlinear boundary value problems, with applications to the forced Gardner equation.

Andrew C. Cullen

PhD thesis, 2019

A fast, spectrally accurate homotopy based numerical method for solving nonlinear differential equations.

Andrew C. Cullen, Simon R. Clarke

J. Comput. Phys., 2019