Paul Montague

78 papers A* 13A 3B 6C 1Misc 5Journal 36Unranked 11
YearRankTypeTitle / Venue / Authors
2026 A* conf
Certified but Fooled! Breaking Certified Defenses with Ghost Certificates.
AAAI
Viet Quoc Vo, Tashreque Mohammed Haq, Paul Montague, Tamas Abraham, Ehsan Abbasnejad, Damith C. Ranasinghe
2026 J jnl
Free Lunch for Pass@k? Low Cost Diverse Sampling for Diffusion Language Models.
CoRR
Sean Lamont, Christian Walder, Paul Montague, Amir Dezfouli, Michael Norrish
2025 J jnl
Certified but Fooled! Breaking Certified Defences with Ghost Certificates.
CoRR
Viet Quoc Vo, Tashreque Mohammed Haq, Paul Montague, Tamas Abraham, Ehsan Abbasnejad, Damith C. Ranasinghe
2025 A* conf
Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them.
ICLR
Anh Tuan Bui, Thuy-Trang Vu, Long Tung Vuong, Trung Le, Paul Montague, Tamas Abraham, Junae Kim, Dinh Phung
2025 J jnl
Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them.
CoRR
Anh Bui, Trang Vu, Tung-Long Vuong, Trung Le, Paul Montague, Tamas Abraham, Junae Kim, Dinh Q. Phung
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
Graph spectral purification for backdoor defence in graph neural networks.
World Wide Web (WWW)
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
2025 A* conf
Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning.
ICLR
Shijie Liu, Andrew Craig Cullen, Paul Montague, Sarah Monazam Erfani, Benjamin I. P. Rubinstein
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 — conf
Position: Certified Robustness Does Not (Yet) Imply Model Security.
ICML (Position Papers)
Andrew Craig Cullen, Paul Montague, Sarah Monazam Erfani, Benjamin I. P. Rubinstein
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 A* conf
Slice+Slice Baby: Generating Last-Level Cache Eviction Sets in the Blink of an Eye.
SP
Bradley Morgan, Gal Horowitz, Sioli O'Connell, Stephan van Schaik, Chitchanok Chuengsatiansup, Daniel Genkin, Olaf Maennel, Paul Montague, Eyal Ronen, Yuval Yarom
2025 J jnl
Slice+Slice Baby: Generating Last-Level Cache Eviction Sets in the Blink of an Eye.
CoRR
Bradley Morgan, Gal Horowitz, Sioli O'Connell, Stephan van Schaik, Chitchanok Chuengsatiansup, Daniel Genkin, Olaf Maennel, Paul Montague, Eyal Ronen, Yuval Yarom
2024 J jnl
3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes.
CoRR
Sean Lamont, Christian Walder, Amir Dezfouli, Paul Montague, Michael Norrish
2024 J jnl
Adversarial Robustness on Image Classification With k-Means.
IEEE Access
Rollin Omari, Junae Kim, Paul Montague
2024 A* conf
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving.
AAAI
Sean Lamont, Michael Norrish, Amir Dezfouli, Christian Walder, Paul Montague
2024 J jnl
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving.
CoRR
Sean Lamont, Michael Norrish, Amir Dezfouli, Christian Walder, Paul Montague
2024 J jnl
Bayesian Learned Models Can Detect Adversarial Malware For Free.
CoRR
Bao Gia Doan, Dang Quang Nguyen, Paul Montague, Tamas Abraham, Olivier Y. de Vel, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe
2024 — conf
Bayesian Learned Models Can Detect Adversarial Malware for Free.
ESORICS (1)
Bao Gia Doan, Dang Quang Nguyen, Paul Montague, Tamas Abraham, Olivier Y. de Vel, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe
2024 A* conf
EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection.
USENIX Security Symposium
Shigang Liu, Di Cao, Junae Kim, Tamas Abraham, Paul Montague, Seyit Camtepe, Jun Zhang, Yang Xiang
2024 J jnl
EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection.
CoRR
Shigang Liu, Di Cao, Junae Kim, Tamas Abraham, Paul Montague, Seyit Camtepe, Jun Zhang, Yang Xiang
2024 A* conf
Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation.
NeurIPS
Anh Bui, Tung-Long Vuong, Khanh Doan, Trung Le, Paul Montague, Tamas Abraham, Dinh Q. Phung
2024 J jnl
Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation.
CoRR
Anh Bui, Long Tung Vuong, Khanh Doan, Trung Le, Paul Montague, Tamas Abraham, Dinh Q. Phung
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 A conf
On the Credibility of Backdoor Attacks Against Object Detectors in the Physical World.
ACSAC
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
2024 J jnl
On the Credibility of Backdoor Attacks Against Object Detectors in the Physical World.
CoRR
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
2024 J jnl
Removing Undesirable Concepts in Text-to-Image Generative Models with Learnable Prompts.
CoRR
Anh Tuan Bui, Khanh Doan, Trung Le, Paul Montague, Tamas Abraham, Dinh Q. Phung
2023 J jnl
Adversarial Robustness on Image Classification with k-means.
CoRR
Rollin Omari, Junae Kim, Paul Montague
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 A* conf
Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness.
AAAI
Bao Gia Doan, Shuiqiao Yang, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe
2023 J jnl
Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness.
CoRR
Bao Gia Doan, Shuiqiao Yang, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe
2023 J jnl
Generating Adversarial Examples with Task Oriented Multi-Objective Optimization.
CoRR
Anh Tuan Bui, Trung Le, He Zhao, Quan Hung Tran, Paul Montague, Dinh Q. Phung
2023 J jnl
Generating Adversarial Examples with Task Oriented Multi-Objective Optimization.
Trans. Mach. Learn. Res.
Anh Tuan Bui, Trung Le, He Zhao, Quan Hung Tran, Paul Montague, Dinh Phung
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 — conf
Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets.
PAKDD (1)
Jiahui Zhou, Nayyar Abbas Zaidi, Yishuo Zhang, Paul Montague, Junae Kim, Gang Li
2022 J jnl
CD-VulD: Cross-Domain Vulnerability Discovery Based on Deep Domain Adaptation.
IEEE Trans. Dependable Secur. Comput.
Shigang Liu, Guanjun Lin, Lizhen Qu, Jun Zhang, Olivier Y. de Vel, Paul Montague, Yang Xiang
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 A conf
On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds.
AISTATS
Trung Le, Anh Tuan Bui, Le Minh Tri Tue, He Zhao, Paul Montague, Quan Hung Tran, Dinh Q. Phung
2022 A conf
Transferable Graph Backdoor Attack.
RAID
Shuiqiao Yang, Bao Gia Doan, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Seyit Camtepe, Damith C. Ranasinghe, Salil S. Kanhere
2022 J jnl
Transferable Graph Backdoor Attack.
CoRR
Shuiqiao Yang, Bao Gia Doan, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Seyit Camtepe, Damith C. Ranasinghe, Salil S. Kanhere
2021 A* conf
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness.
AAAI
Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung
2021 B conf
Information-theoretic Source Code Vulnerability Highlighting.
IJCNN
Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John Grundy, Dinh Phung
2021 J jnl
Software Vulnerability Discovery via Learning Multi-Domain Knowledge Bases.
IEEE Trans. Dependable Secur. Comput.
Guanjun Lin, Jun Zhang, Wei Luo, Lei Pan, Olivier Y. de Vel, Paul Montague, Yang Xiang
2021 J jnl
Understanding and Achieving Efficient Robustness with Adversarial Contrastive Learning.
CoRR
Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Seyit Camtepe, Dinh Phung
2020 B conf
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence.
IJCNN
Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani
2020 — conf
Code Action Network for Binary Function Scope Identification.
PAKDD (1)
Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung
2020 B conf
Code Pointer Network for Binary Function Scope Identification.
IJCNN
Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, Dinh Phung
2020 — conf
Deep Cost-Sensitive Kernel Machine for Binary Software Vulnerability Detection.
PAKDD (2)
Tuan Nguyen, Trung Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung
2020 — conf
Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability Detection.
PAKDD (1)
Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung
2020 — conf
Improving Adversarial Robustness by Enforcing Local and Global Compactness.
ECCV (27)
Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. DeVel, Tamas Abraham, Dinh Q. Phung
2020 J jnl
Improving Adversarial Robustness by Enforcing Local and Global Compactness.
CoRR
Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. DeVel, Tamas Abraham, Dinh Phung
2020 J jnl
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness.
CoRR
Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. DeVel, Tamas Abraham, Dinh Phung
2020 J jnl
Towards Understanding Pixel Vulnerability under Adversarial Attacks for Images.
CoRR
He Zhao, Trung Le, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung
2019 J jnl
Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking.
CoRR
Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani
2019 B conf
Deep Domain Adaptation for Vulnerable Code Function Identification.
IJCNN
Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. DeVel, Paul Montague, Lizhen Qu, Dinh Q. Phung
2019 — conf
Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection.
ICLR (Poster)
Tue Le, Tuan Nguyen, Trung Le, Dinh Q. Phung, Paul Montague, Olivier Y. de Vel, Lizhen Qu
2019 J jnl
Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions.
CoRR
He Zhao, Trung Le, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung
2019 — conf
Towards Attention Based Vulnerability Discovery Using Source Code Representation.
ICANN (4)
Junae Kim, David Hubczenko, Paul Montague
2018 J jnl
Cross-Project Transfer Representation Learning for Vulnerable Function Discovery.
IEEE Trans. Ind. Informatics
Guanjun Lin, Jun Zhang, Wei Luo, Lei Pan, Yang Xiang, Olivier Y. de Vel, Paul Montague
2018 — conf
Reinforcement Learning for Autonomous Defence in Software-Defined Networking.
GameSec
Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague
2018 J jnl
Reinforcement Learning for Autonomous Defence in Software-Defined Networking.
CoRR
Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague
2017 B conf
An efficient semi-supervised SVM for anomaly detection.
IJCNN
Paul Montague, Junae Kim
2012 C conf
A Context-Based Integrity Framework.
APSEC
Mark Anderson, Paul Montague, Benjamin Long
2005 — ed.
ACSW Frontiers 2005, 2005 ACSW Workshops - the Australasian Workshop on Grid Computing and e-Research (AusGrid 2005) and the Third Australasian Information Security Workshop (AISW 2005), Newcastle, NSW, Australia, January/February 2005
ACSW
Rajkumar Buyya, Paul D. Coddington, Paul Montague, Reihaneh Safavi-Naini, Nicholas Paul Sheppard, Andrew L. Wendelborn
2005 Misc conf
GBD Threshold Cryptography with an Application to RSA Key Recovery.
ACISP
Chris Steketee, Jaimee Brown, Juan Manuel González Nieto, Paul Montague
2005 — conf
Translation of Rights Expressions.
ACSW
Brenton Cooper, Paul Montague
2004 — ed.
ACSW Frontiers 2004, 2004 ACSW Workshops - the Australasian Information Security Workshop (AISW2004), the Australasian Workshop on Data Mining and Web Intelligence (DMWI2004), and the Australasian Workshop on Software Internationalisation (AWSI2004) . Dunedin, New Zealand, January 2004
ACSW
James M. Hogan, Paul Montague, Martin K. Purvis, Chris Steketee
2004 J jnl
The efficiency of solving multiple discrete logarithm problems and the implications for the security of fixed elliptic curves.
Int. J. Inf. Sec.
Yvonne Hitchcock, Paul Montague, Gary Carter, Ed Dawson
2003 Misc conf
A Password-Based Authenticator: Security Proof and Applications.
INDOCRYPT
Yvonne Hitchcock, Yiu Shing Terry Tin, Juan Manuel González Nieto, Colin Boyd, Paul Montague
2003 — ed.
ACSW Frontiers 2003, 2003 ACSW Workshops - the Australasian Information Security Workshop (AISW) and the Workshop on Wearable, Invisible, Context-Aware, Ambient, Pervasive and Ubiquitous Computing (WICAPUC), Adelaide, South Australia, February 2003
ACSW
Chris W. Johnson, Paul Montague, Chris Steketee
2003 Misc conf
The Security of Fixed versus Random Elliptic Curves in Cryptography.
ACISP
Yvonne Hitchcock, Paul Montague, Gary Carter, Ed Dawson
2002 Misc conf
A New Elliptic Curve Scalar Multiplication Algorithm to Resist Simple Power Analysis.
ACISP
Yvonne Hitchcock, Paul Montague
2001 Misc conf
Elliptic Curve Based Password Authenticated Key Exchange Protocols.
ACISP
Colin Boyd, Paul Montague, Khanh Quoc Nguyen
1999 B conf
An elliptic curve authenticated key exchange based approach to key infrastructure.
KES
Praveen Koduri, Anant Mahajan, Paul Montague, Philip Moseley