Cullen, Andrew Craig, Montague, Paul, Erfani, Sarah Monazam and Rubinstein, Benjamin IP. "Position: Certified Robustness Does Not (Yet) Imply Model Security". In: Forty-second International Conference on Machine Learning (Position Paper Track) (2025).
Saeed, Ifrah, Cullen, Andrew C, Zaidi, Zainab, Erfani, Sarah and Alpcan, Tansu. "Algorithmically-designed reward shaping for multiagent reinforcement learning in navigation". In: Neurocomputing (2025).
Liu, Shijie, Cullen, Andrew C, Montague, Paul, Erfani, Sarah and Rubinstein, Benjamin IP. "Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning". In: arXiv preprint arXiv:2505.20621 (2025).
Adams, Takuma, Cullen, Andrew C and Alpcan, Tansu. "A Swarmalator-Based Multiplayer Pursuit-Evasion Game". In: 2025 IEEE 64th Conference on Decision and Control (CDC) (2025).
Adams, Takuma A, Cullen, Andrew C and Alpcan, Tansu. "Suboptimality of Constrained Action Adversarial Cyber-Physical Games". In: Dynamic Games and Applications (2025).
Adams, Takuma, Cullen, Andrew C and Alpcan, Tansu. "(Poster) Physics-Informed Value Approximation for Pursuit-Evasion Games". In: International Conference on Game Theory and AI for Security (2025).
Cullen, Andrew C, Liu, Shijie, Montague, Paul, Erfani, Sarah M and Rubinstein, Benjamin IP. "Et Tu certifications: robustness certificates yield better adversarial examples". In: Proceedings of the 41st International Conference on Machine Learning (2024).
Cullen, Andrew C, Montague, Paul, Liu, Shijie, Erfani, Sarah M and Rubinstein, Benjamin IP. "It’s Simplex! Disaggregating Measures to Improve Certified Robustness". In: 2024 IEEE Symposium on Security and Privacy (SP) (2024).
Saeed, Ifrah, Cullen, Andrew C, Zaidi, Zainab R, Erfani, Sarah and Alpcan, Tansu. "Reinforcement Learning for Joint Resource and Power Allocation in D2D Communications". In: 2024 IEEE 63rd Conference on Decision and Control (CDC) (2024).
Adams, Takuma A, Cullen, Andrew C and Alpcan, Tansu. "Human Decisions versus Multi-agent Reinforcement Learning in a Pursuit-evader Game". In: IFAC-PapersOnLine (2024).
Adams, Takuma, Cullen, Andrew C and Alpcan, Tansu. "Command and Control of Complex Human-Machine Teams". In: Australian Defence Science, Technology, and Research Summit (2024).
Adams, Takuma, Cullen, Andrew C and Alpcan, Tansu. "Quantisation effects in adversarial cyber-physical games". In: International Conference on Decision and Game Theory for Security (2023).
Chan, Keith CH, Cullen, Andrew C and Clarke, Simon R. "Exponential and algebraic decaying solitary waves and their connection to hydraulic fall solutions". In: arXiv preprint arXiv:2306.04871 (2023).
Sun, Guoxin, Alpcan, Tansu, Camtepe, Seyit, Cullen, Andrew C and Rubinstein, Benjamin IP. "An Adversarial Strategic Game for Machine Learning as a Service using System Features". In: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems (2023).
Katzef, Marc, Cullen, Andrew C, Alpcan, Tansu, Leckie, Christopher and Kopacz, Justin. "Failure-tolerant Distributed Learning for Anomaly Detection in Wireless Networks". In: arXiv preprint arXiv:2303.13015 (2023).
Liu, Shijie, Cullen, Andrew C, Montague, Paul, Erfani, Sarah M and Rubinstein, Benjamin IP. "Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks". In: Proceedings of the AAAI Conference on Artificial Intelligence (2023).
Cullen, Andrew C, Montague, Paul, Liu, Shijie, Erfani, Sarah M and Rubinstein, Benjamin IP. "Exploiting certified defences to attack randomised smoothing". In: arXiv preprint arXiv:2302.04379 (2023).
Katzef, Marc, Cullen, Andrew C, Alpcan, Tansu and Leckie, Christopher. "Robust Wireless Network Anomaly Detection with Collaborative Adversarial Autoencoders". In: ICC 2023-IEEE International Conference on Communications (2023).
Cullen, Andrew C, Rubinstein, Benjamin IP, Kandeepan, Sithamparanathan, Flower, Barry and Leong, Philip HW. "Predicting dynamic spectrum allocation: a review covering simulation, modelling, and prediction". In: Artificial Intelligence Review (2023).
Katzef, Marc, Cullen, Andrew C, Alpcan, Tansu and Leckie, Christopher. "Generative Adversarial Networks for anomaly detection on decentralised data". In: Annual Reviews in Control (2022).
Cullen, Andrew C, Montague, Paul, Liu, Shijie, Erfani, Sarah M and Rubinstein, Benjamin IP.
"Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity". In: Advances in Neural Information Processing Systems (Neurips) (2022).
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Selected for Oral Presentations (Top 1.7% of papers) ;
arXiv]
Cullen, Andrew C, Alpcan, Tansu and Kalloniatis, Alexander C. "Adversarial decisions on complex dynamical systems using game theory". In: Physica A: Statistical Mechanics and its Applications (2022).
Katzef, Marc, Cullen, Andrew C, Alpcan, Tansu, Leckie, Christopher and Kopacz, Justin. "Wireless Network Simulation to Create Machine Learning Benchmark Data". In: GLOBECOM 2022-2022 IEEE Global Communications Conference (2022).
Saeed, Ifrah, Cullen, Andrew C, Erfani, Sarah and Alpcan, Tansu. "Domain-Aware Multiagent Reinforcement Learning in Navigation". In: 2021 International Joint Conference on Neural Networks (IJCNN) (2021).
Katzef, Marc, Cullen, Andrew C, Alpcan, Tansu, Leckie, Christopher and Kopacz, Justin. "Privacy-Preserving Collaborative SDR Networks for Anomaly Detection". In: ICC 2021-IEEE International Conference on Communications (2021).
Katzef, Marc, Cullen, Andrew C, Alpcan, Tansu, Leckie, Christopher and Kopacz, Justin. "Distributed generative adversarial networks for anomaly detection". In: Decision and Game Theory for Security: 11th International Conference, GameSec 2020, College Park, MD, USA, October 28--30, 2020, Proceedings 11 (2020).
Cullen, Andrew C and Clarke, Simon R. "A fast, spectrally accurate homotopy based numerical method for solving nonlinear differential equations". In: Journal of Computational Physics (2019).
Cullen, Andrew C. "A novel numerical solver for nonlinear boundary value problems, with applications to the forced Gardner equation". In: Monash University (2018).
Cullen, Andrew Craig and Clarke, Simon. "A fast, spectrally accurate solver for the Falkner--Skan equation". In: ANZIAM Journal (2016).