An elliptic curve authenticated key exchange based approach to key infrastructure. - Praveen Koduri; Anant Mahajan; Paul Montague; Philip Moseley (KES, 1999)

Elliptic Curve Based Password Authenticated Key Exchange Protocols. - Colin Boyd; Paul Montague; Khanh Quoc Nguyen (ACISP, 2001)

A New Elliptic Curve Scalar Multiplication Algorithm to Resist Simple Power Analysis. - Yvonne Hitchcock; Paul Montague (ACISP, 2002)

The Security of Fixed versus Random Elliptic Curves in Cryptography. - Yvonne Hitchcock; Paul Montague; Gary Carter; Ed Dawson (ACISP, 2003)

A Password-Based Authenticator: Security Proof and Applications. - Yvonne Hitchcock; Yiu Shing Terry Tin; Juan Manuel González Nieto; Colin Boyd; Paul Montague (INDOCRYPT, 2003)

The efficiency of solving multiple discrete logarithm problems and the implications for the security of fixed elliptic curves. - Yvonne Hitchcock; Paul Montague; Gary Carter; Ed Dawson (Int. J. Inf. Sec., 2004)

GBD Threshold Cryptography with an Application to RSA Key Recovery. - Chris Steketee; Jaimee Brown; Juan Manuel González Nieto; Paul Montague (ACISP, 2005)

Translation of Rights Expressions. - Brenton Cooper; Paul Montague (ACSW, 2005)

A Context-Based Integrity Framework. - Mark Anderson; Paul Montague; Benjamin Long (APSEC, 2012)

An efficient semi-supervised SVM for anomaly detection. - Paul Montague; Junae Kim (IJCNN, 2017)

Reinforcement Learning for Autonomous Defence in Software-Defined Networking. - Yi Han 003; Benjamin I. P. Rubinstein; Tamas Abraham; Tansu Alpcan; Olivier Y. de Vel; Sarah M. Erfani; David Hubczenko; Christopher Leckie; Paul Montague (GameSec, 2018)

Cross-Project Transfer Representation Learning for Vulnerable Function Discovery. - Guanjun Lin; Jun Zhang 010; Wei Luo 001; Lei Pan 002; Yang Xiang 001; Olivier Y. de Vel; Paul Montague (IEEE Trans. Ind. Informatics, 2018)

Towards Attention Based Vulnerability Discovery Using Source Code Representation. - Junae Kim; David Hubczenko; Paul Montague (ICANN (4), 2019)

Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection. - Tue Le; Tuan Nguyen 004; Trung Le 001; Dinh Q. Phung; Paul Montague; Olivier Y. de Vel; Lizhen Qu (ICLR (Poster), 2019)

Deep Domain Adaptation for Vulnerable Code Function Identification. - Van Nguyen 002; Trung Le 001; Tue Le; Khanh Nguyen; Olivier Y. DeVel; Paul Montague; Lizhen Qu; Dinh Q. Phung (IJCNN, 2019)

Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking. - Yi Han 003; David Hubczenko; Paul Montague; Olivier Y. de Vel; Tamas Abraham; Benjamin I. P. Rubinstein; Christopher Leckie; Tansu Alpcan; Sarah M. Erfani (CoRR, 2019)

Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions. - He Zhao 001; Trung Le 001; Paul Montague; Olivier Y. de Vel; Tamas Abraham; Dinh Phung 001 (CoRR, 2019)

Improving Adversarial Robustness by Enforcing Local and Global Compactness. - Tuan-Anh Bui; Trung Le 001; He Zhao 001; Paul Montague; Olivier Y. DeVel; Tamas Abraham; Dinh Q. Phung (ECCV (27), 2020)

Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence. - Yi Han 003; David Hubczenko; Paul Montague; Olivier Y. de Vel; Tamas Abraham; Benjamin I. P. Rubinstein; Christopher Leckie; Tansu Alpcan; Sarah M. Erfani (IJCNN, 2020)

Code Pointer Network for Binary Function Scope Identification. - Van Nguyen 002; Trung Le 001; Tue Le; Khanh Nguyen; Olivier Y. de Vel; Paul Montague; Dinh Phung 001 (IJCNN, 2020)

Code Action Network for Binary Function Scope Identification. - Van Nguyen 002; Trung Le 001; Tue Le; Khanh Nguyen; Olivier Y. de Vel; Paul Montague; John C. Grundy; Dinh Phung 001 (PAKDD (1), 2020)

Deep Cost-Sensitive Kernel Machine for Binary Software Vulnerability Detection. - Tuan Nguyen 004; Trung Le 001; Khanh Nguyen; Olivier Y. de Vel; Paul Montague; John C. Grundy; Dinh Phung 001 (PAKDD (2), 2020)

Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability Detection. - Van Nguyen 002; Trung Le 001; Olivier Y. de Vel; Paul Montague; John C. Grundy; Dinh Phung 001 (PAKDD (1), 2020)

Towards Understanding Pixel Vulnerability under Adversarial Attacks for Images. - He Zhao 001; Trung Le 001; Paul Montague; Olivier Y. de Vel; Tamas Abraham; Dinh Phung 001 (CoRR, 2020)

Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness. - Tuan-Anh Bui; Trung Le 001; He Zhao 001; Paul Montague; Olivier Y. de Vel; Tamas Abraham; Dinh Phung 001 (AAAI, 2021)

Information-theoretic Source Code Vulnerability Highlighting. - Van Nguyen 002; Trung Le 001; Olivier Y. de Vel; Paul Montague; John Grundy 001; Dinh Phung 001 (IJCNN, 2021)

Understanding and Achieving Efficient Robustness with Adversarial Contrastive Learning. - Tuan-Anh Bui; Trung Le 001; He Zhao 001; Paul Montague; Seyit Camtepe; Dinh Phung 001 (CoRR, 2021)

Software Vulnerability Discovery via Learning Multi-Domain Knowledge Bases. - Guanjun Lin; Jun Zhang 010; Wei Luo 001; Lei Pan 002; Olivier Y. de Vel; Paul Montague; Yang Xiang 001 (IEEE Trans. Dependable Secur. Comput., 2021)

On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds. - Trung Le 001; Anh Tuan Bui; Le Minh Tri Tue; He Zhao 001; Paul Montague; Quan Hung Tran; Dinh Q. Phung (AISTATS, 2022)

Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity. - Andrew C. Cullen; Paul Montague; Shijie Liu 004; Sarah M. Erfani; Benjamin I. P. Rubinstein (NeurIPS, 2022)

Transferable Graph Backdoor Attack. - Shuiqiao Yang; Bao Gia Doan; Paul Montague; Olivier Y. de Vel; Tamas Abraham; Seyit Camtepe; Damith C. Ranasinghe; Salil S. Kanhere (RAID, 2022)

CD-VulD: Cross-Domain Vulnerability Discovery Based on Deep Domain Adaptation. - Shigang Liu; Guanjun Lin; Lizhen Qu; Jun Zhang 010; Olivier Y. de Vel; Paul Montague; Yang Xiang 001 (IEEE Trans. Dependable Secur. Comput., 2022)

Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness. - Bao Gia Doan; Shuiqiao Yang; Paul Montague; Olivier Y. de Vel; Tamas Abraham; Seyit Camtepe; Salil S. Kanhere; Ehsan Abbasnejad; Damith C. Ranasinghe (AAAI, 2023)

Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks. - Shijie Liu 004; Andrew C. Cullen; Paul Montague; Sarah M. Erfani; Benjamin I. P. Rubinstein (AAAI, 2023)

Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets. - Jiahui Zhou; Nayyar Abbas Zaidi; Yishuo Zhang; Paul Montague; Junae Kim; Gang Li 009 (PAKDD (1), 2023)

Exploiting Certified Defences to Attack Randomised Smoothing. - Andrew C. Cullen; Paul Montague; Shijie Liu 004; Sarah M. Erfani; Benjamin I. P. Rubinstein (CoRR, 2023)

Generating Adversarial Examples with Task Oriented Multi-Objective Optimization. - Anh Tuan Bui; Trung Le 001; He Zhao 001; Quan Hung Tran; Paul Montague; Dinh Phung 001 (Trans. Mach. Learn. Res., 2023)

BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving. - Sean Lamont; Michael Norrish; Amir Dezfouli; Christian Walder; Paul Montague (AAAI, 2024)

On the Credibility of Backdoor Attacks Against Object Detectors in the Physical World. - Bao Gia Doan; Dang Quang Nguyen; Callum Lindquist; Paul Montague; Tamas Abraham; Olivier Y. de Vel; Seyit Camtepe; Salil S. Kanhere; Ehsan Abbasnejad; Damith C. Ranasinghe (ACSAC, 2024)

Bayesian Learned Models Can Detect Adversarial Malware for Free. - Bao Gia Doan; Dang Quang Nguyen; Paul Montague; Tamas Abraham; Olivier Y. de Vel; Seyit Camtepe; Salil S. Kanhere; Ehsan Abbasnejad; Damith C. Ranasinghe (ESORICS (1), 2024)

Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples. - Andrew C. Cullen; Shijie Liu 004; Paul Montague; Sarah Monazam Erfani; Benjamin I. P. Rubinstein (ICML, 2024)

Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation. - Anh Bui; Tung-Long Vuong; Khanh Doan; Trung Le 001; Paul Montague; Tamas Abraham; Dinh Q. Phung (NeurIPS, 2024)

It's Simplex! Disaggregating Measures to Improve Certified Robustness. - Andrew C. Cullen; Paul Montague; Shijie Liu 004; Sarah M. Erfani; Benjamin I. P. Rubinstein (SP, 2024)

EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection. - Shigang Liu; Di Cao; Junae Kim; Tamas Abraham; Paul Montague; Seyit Camtepe; Jun Zhang 010; Yang Xiang 001 (USENIX Security Symposium, 2024)

Adversarial Robustness on Image Classification With k-Means. - Rollin Omari; Junae Kim; Paul Montague (IEEE Access, 2024)

Removing Undesirable Concepts in Text-to-Image Generative Models with Learnable Prompts. - Anh Tuan Bui; Khanh Doan; Trung Le 001; Paul Montague; Tamas Abraham; Dinh Q. Phung (CoRR, 2024)

3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes. - Sean Lamont; Christian Walder; Amir Dezfouli; Paul Montague; Michael Norrish (CoRR, 2024)

Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation. - Anh Bui; Long Tung Vuong; Khanh Doan; Trung Le 001; Paul Montague; Tamas Abraham; Dinh Q. Phung (CoRR, 2024)

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them. - Anh Tuan Bui; Thuy-Trang Vu; Long Tung Vuong; Trung Le 001; Paul Montague; Tamas Abraham; Junae Kim; Dinh Phung 001 (ICLR, 2025)

Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning. - Shijie Liu 004; Andrew Craig Cullen; Paul Montague; Sarah Monazam Erfani; Benjamin I. P. Rubinstein (ICLR, 2025)

Slice+Slice Baby: Generating Last-Level Cache Eviction Sets in the Blink of an Eye. - Bradley Morgan; Gal Horowitz; Sioli O'Connell; Stephan van Schaik; Chitchanok Chuengsatiansup; Daniel Genkin; Olaf Maennel; Paul Montague; Eyal Ronen; Yuval Yarom (SP, 2025)

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them. - Anh Bui; Trang Vu; Tung-Long Vuong; Trung Le 001; Paul Montague; Tamas Abraham; Junae Kim; Dinh Q. Phung (CoRR, 2025)

Fox in the Henhouse: Supply-Chain Backdoor Attacks Against Reinforcement Learning. - Shijie Liu 004; Andrew C. Cullen; Paul Montague; Sarah M. Erfani; Benjamin I. P. Rubinstein (CoRR, 2025)

Position: Certified Robustness Does Not (Yet) Imply Model Security. - Andrew C. Cullen; Paul Montague; Sarah M. Erfani; Benjamin I. P. Rubinstein (CoRR, 2025)

Graph spectral purification for backdoor defence in graph neural networks. - Shuiqiao Yang; Bao Gia Doan; Paul Montague; Olivier Y. de Vel; Tamas Abraham; Alsharif Abuadbba; Ehsan Abbasnejad; Seyit Camtepe; Damith C. Ranasinghe; Salil S. Kanhere (World Wide Web (WWW), 2025)