Paul Montague

According to our database, Paul Montague authored at least 42 papers between 1999 and 2024.

Collaborative distances:

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

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

CoRR, 2024

Removing Undesirable Concepts in Text-to-Image Generative Models with Learnable Prompts.

Anh Tuan Bui, Khanh Doan, Trung Le, Paul Montague, Tamas Abraham, Dinh Q. Phung

CoRR, 2024

Adversarial Robustness on Image Classification With k-Means.

Rollin Omari, Junae Kim, Paul Montague

IEEE Access, 2024

BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving.

Sean Lamont, Michael Norrish, Amir Dezfouli, Christian Walder, Paul Montague

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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

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

CoRR, 2023

Generating Adversarial Examples with Task Oriented Multi-Objective Optimization.

Anh Tuan Bui, Trung Le, He Zhao, Quan Hung Tran, Paul Montague, Dinh Q. Phung

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

Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets.

Jiahui Zhou, Nayyar Abbas Zaidi, Yishuo Zhang, Paul Montague, Junae Kim, Gang Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 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

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

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

2022

CD-VulD: Cross-Domain Vulnerability Discovery Based on Deep Domain Adaptation.

Shigang Liu, Guanjun Lin, Lizhen Qu, Jun Zhang, Olivier Y. de Vel, Paul Montague, Yang Xiang

IEEE Trans. Dependable Secur. Comput., 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

Proceedings of the 25th International Symposium on Research in Attacks, 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

On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds.

Trung Le, Anh Tuan Bui, Le Minh Tri Tue, He Zhao, Paul Montague, Quan Hung Tran, Dinh Q. Phung

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Software Vulnerability Discovery via Learning Multi-Domain Knowledge Bases.

Guanjun Lin, Jun Zhang, Wei Luo, Lei Pan, Olivier Y. de Vel, Paul Montague, Yang Xiang

IEEE Trans. Dependable Secur. Comput., 2021

Understanding and Achieving Efficient Robustness with Adversarial Contrastive Learning.

Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Seyit Camtepe, Dinh Phung

CoRR, 2021

Information-theoretic Source Code Vulnerability Highlighting.

Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John Grundy, Dinh Phung

Proceedings of the International Joint Conference on Neural Networks, 2021

Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness.

Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Towards Understanding Pixel Vulnerability under Adversarial Attacks for Images.

He Zhao, Trung Le, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung

CoRR, 2020

Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability Detection.

Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Deep Cost-Sensitive Kernel Machine for Binary Software Vulnerability Detection.

Tuan Nguyen, Trung Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Code Action Network for Binary Function Scope Identification.

Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Code Pointer Network for Binary Function Scope Identification.

Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, Dinh Phung

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence.

Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Improving Adversarial Robustness by Enforcing Local and Global Compactness.

Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. DeVel, Tamas Abraham, Dinh Q. Phung

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions.

He Zhao, Trung Le, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung

CoRR, 2019

Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking.

Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani

CoRR, 2019

Deep Domain Adaptation for Vulnerable Code Function Identification.

Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. DeVel, Paul Montague, Lizhen Qu, Dinh Q. Phung

Proceedings of the International Joint Conference on Neural Networks, 2019

Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection.

Tue Le, Tuan Nguyen, Trung Le, Dinh Q. Phung, Paul Montague, Olivier Y. de Vel, Lizhen Qu

Proceedings of the 7th International Conference on Learning Representations, 2019

Towards Attention Based Vulnerability Discovery Using Source Code Representation.

Junae Kim, David Hubczenko, Paul Montague

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

2018

Cross-Project Transfer Representation Learning for Vulnerable Function Discovery.

Guanjun Lin, Jun Zhang, Wei Luo, Lei Pan, Yang Xiang, Olivier Y. de Vel, Paul Montague

IEEE Trans. Ind. Informatics, 2018

Reinforcement Learning for Autonomous Defence in Software-Defined Networking.

Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague

Proceedings of the Decision and Game Theory for Security - 9th International Conference, 2018

2017

An efficient semi-supervised SVM for anomaly detection.

Paul Montague, Junae Kim

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2012

A Context-Based Integrity Framework.

Mark Anderson, Paul Montague, Benjamin Long

Proceedings of the 19th Asia-Pacific Software Engineering Conference, 2012

2005

Translation of Rights Expressions.

Brenton Cooper, Paul Montague

Proceedings of the ACSW Frontiers 2005, 2005 ACSW Workshops, 2005

GBD Threshold Cryptography with an Application to RSA Key Recovery.

Chris Steketee, Jaimee Brown, Juan Manuel González Nieto, Paul Montague

Proceedings of the Information Security and Privacy, 10th Australasian Conference, 2005

2004

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

2003

A Password-Based Authenticator: Security Proof and Applications.

Yvonne Hitchcock, Yiu Shing Terry Tin, Juan Manuel González Nieto, Colin Boyd, Paul Montague

Proceedings of the Progress in Cryptology, 2003

The Security of Fixed versus Random Elliptic Curves in Cryptography.

Yvonne Hitchcock, Paul Montague, Gary Carter, Ed Dawson

Proceedings of the Information Security and Privacy, 8th Australasian Conference, 2003

2002

A New Elliptic Curve Scalar Multiplication Algorithm to Resist Simple Power Analysis.

Yvonne Hitchcock, Paul Montague

Proceedings of the Information Security and Privacy, 7th Australian Conference, 2002

2001

Elliptic Curve Based Password Authenticated Key Exchange Protocols.

Colin Boyd, Paul Montague, Khanh Quoc Nguyen

Proceedings of the Information Security and Privacy, 6th Australasian Conference, 2001

1999

An elliptic curve authenticated key exchange based approach to key infrastructure.

Praveen Koduri, Anant Mahajan, Paul Montague, Philip Moseley

Proceedings of the Third International Conference on Knowledge-Based Intelligent Information Engineering Systems, 1999