Andrew C. Cullen

31 papers A* 4A 1B 2Journal 16Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Swarmalator-Based Multiplayer Pursuit-Evasion Game. CDC Takuma Adams, Andrew C. Cullen, Tansu Alpcan
2025	J	`jnl`	Algorithmically-designed reward shaping for multiagent reinforcement learning in navigation. Neurocomputing Ifrah Saeed, Andrew C. Cullen, Zainab R. Zaidi, Sarah M. Erfani, Tansu Alpcan
2025	J	`jnl`	Fox in the Henhouse: Supply-Chain Backdoor Attacks Against Reinforcement Learning. CoRR Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein
2025	J	`jnl`	Game-Theoretic Analysis of Adversarial Decision Making in a Complex Socio-Physical System. Dyn. Games Appl. Andrew C. Cullen, Tansu Alpcan, Alexander C. Kalloniatis
2025	J	`jnl`	Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning. CoRR Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein
2025	J	`jnl`	On the Bayes Inconsistency of Disagreement Discrepancy Surrogates. CoRR Neil G. Marchant, Andrew C. Cullen, Feng Liu, Sarah M. Erfani
2025	J	`jnl`	Position: Certified Robustness Does Not (Yet) Imply Model Security. CoRR Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein
2025	J	`jnl`	Suboptimality of Constrained Action Adversarial Cyber-Physical Games. Dyn. Games Appl. Takuma A. Adams, Andrew C. Cullen, Tansu Alpcan
2024	—	`conf`	(Poster) Physics-Informed Value Approximation for Pursuit-Evasion Games. GameSec (2) Takuma Adams, Andrew C. Cullen, Tansu Alpcan
2024	A*	`conf`	Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples. ICML Andrew C. Cullen, Shijie Liu, Paul Montague, Sarah Monazam Erfani, Benjamin I. P. Rubinstein
2024	A*	`conf`	It's Simplex! Disaggregating Measures to Improve Certified Robustness. SP Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein
2024	—	`conf`	Reinforcement Learning for Joint Resource and Power Allocation in D2D Communications. CDC Ifrah Saeed, Andrew C. Cullen, Zainab R. Zaidi, Sarah M. Erfani, Tansu Alpcan
2023	A	`conf`	An Adversarial Strategic Game for Machine Learning as a Service using System Features. AAMAS Guoxin Sun, Tansu Alpcan, Seyit Camtepe, Andrew C. Cullen, Benjamin I. P. Rubinstein
2023	A*	`conf`	Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks. AAAI Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein
2023	J	`jnl`	Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks. CoRR Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein
2023	J	`jnl`	Exploiting Certified Defences to Attack Randomised Smoothing. CoRR Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein
2023	J	`jnl`	Failure-tolerant Distributed Learning for Anomaly Detection in Wireless Networks. CoRR Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz
2023	J	`jnl`	It's Simplex! Disaggregating Measures to Improve Certified Robustness. CoRR Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein
2023	J	`jnl`	Predicting dynamic spectrum allocation: a review covering simulation, modelling, and prediction. Artif. Intell. Rev. Andrew C. Cullen, Benjamin I. P. Rubinstein, Sithamparanathan Kandeepan, Barry Flower, Philip H. W. Leong
2023	—	`conf`	Quantisation Effects in Adversarial Cyber-Physical Games. GameSec Takuma Adams, Andrew C. Cullen, Tansu Alpcan
2023	—	`conf`	Robust Wireless Network Anomaly Detection with Collaborative Adversarial Autoencoders. ICC Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie
2022	J	`jnl`	Adversarial Decisions on Complex Dynamical Systems using Game Theory. CoRR Andrew C. Cullen, Tansu Alpcan, Alexander C. Kalloniatis
2022	A*	`conf`	Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity. NeurIPS Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein
2022	J	`jnl`	Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity. CoRR Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein
2022	J	`jnl`	Generative Adversarial Networks for anomaly detection on decentralised data. Annu. Rev. Control. Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie
2022	B	`conf`	Wireless Network Simulation to Create Machine Learning Benchmark Data. GLOBECOM Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz
2021	B	`conf`	Domain-Aware Multiagent Reinforcement Learning in Navigation. IJCNN Ifrah Saeed, Andrew C. Cullen, Sarah M. Erfani, Tansu Alpcan
2021	—	`conf`	Privacy-Preserving Collaborative SDR Networks for Anomaly Detection. ICC Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz
2020	—	`conf`	Distributed Generative Adversarial Networks for Anomaly Detection. GameSec Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz
2019	J	`jnl`	A fast, spectrally accurate homotopy based numerical method for solving nonlinear differential equations. J. Comput. Phys. Andrew C. Cullen, Simon R. Clarke
2019	—	`—`	A novel numerical solver for nonlinear boundary value problems, with applications to the forced Gardner equation. Andrew C. Cullen