Paul Montague

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 45

Top Topics

Partial Observability

Reinforcement Learning

Domain Adaptation

Top Venues

Publications

Shigang Liu, Di Cao, Junae Kim, Tamas Abraham, Paul Montague, Seyit Camtepe, Jun Zhang, Yang Xiang
EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection. CoRR (2024)
Sean Lamont, Michael Norrish, Amir Dezfouli, Christian Walder, Paul Montague
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving. AAAI (2024)
Rollin Omari, Junae Kim, Paul Montague
Adversarial Robustness on Image Classification With k-Means. IEEE Access 12 (2024)
Sean Lamont, Michael Norrish, Amir Dezfouli, Christian Walder, Paul Montague
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving. CoRR (2024)
Bao Gia Doan, Dang Quang Nguyen, Paul Montague, Tamas Abraham, Olivier Y. de Vel, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe
Bayesian Learned Models Can Detect Adversarial Malware For Free. CoRR (2024)
Shigang Liu, Di Cao, Junae Kim, Tamas Abraham, Paul Montague, Seyit Camtepe, Jun Zhang, Yang Xiang
EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection. USENIX Security Symposium (2024)
Anh Tuan Bui, Khanh Doan, Trung Le, Paul Montague, Tamas Abraham, Dinh Q. Phung
Removing Undesirable Concepts in Text-to-Image Generative Models with Learnable Prompts. CoRR (2024)
Anh Tuan Bui, Trung Le, He Zhao, Quan Hung Tran, Paul Montague, Dinh Q. Phung
Generating Adversarial Examples with Task Oriented Multi-Objective Optimization. CoRR (2023)
Bao Gia Doan, Shuiqiao Yang, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe
Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness. CoRR (2023)
Anh Tuan Bui, Trung Le, He Zhao, Quan Hung Tran, Paul Montague, Dinh Phung
Generating Adversarial Examples with Task Oriented Multi-Objective Optimization. Trans. Mach. Learn. Res. 2023 (2023)
Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks. CoRR (2023)
Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein
It's Simplex! Disaggregating Measures to Improve Certified Robustness. CoRR (2023)
Bao Gia Doan, Shuiqiao Yang, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranashinghe
Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness. AAAI (2023)
Jiahui Zhou, Nayyar Abbas Zaidi, Yishuo Zhang, Paul Montague, Junae Kim, Gang Li
Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets. PAKDD (1) (2023)
Rollin Omari, Junae Kim, Paul Montague
Adversarial Robustness on Image Classification with k-means. CoRR (2023)
Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks. AAAI (2023)
Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein
Exploiting Certified Defences to Attack Randomised Smoothing. CoRR (2023)
Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein
Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity. NeurIPS (2022)
Shuiqiao Yang, Bao Gia Doan, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Seyit Camtepe, Damith C. Ranasinghe, Salil S. Kanhere
Transferable Graph Backdoor Attack. RAID (2022)
Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein
Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity. CoRR (2022)
Shuiqiao Yang, Bao Gia Doan, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Seyit Camtepe, Damith C. Ranasinghe, Salil S. Kanhere
Transferable Graph Backdoor Attack. CoRR (2022)
Trung Le, Anh Tuan Bui, Le Minh Tri Tue, He Zhao, Paul Montague, Quan Hung Tran, Dinh Q. Phung
On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds. AISTATS (2022)
Shigang Liu, Guanjun Lin, Lizhen Qu, Jun Zhang, Olivier Y. de Vel, Paul Montague, Yang Xiang
CD-VulD: Cross-Domain Vulnerability Discovery Based on Deep Domain Adaptation. IEEE Trans. Dependable Secur. Comput. 19 (1) (2022)
Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John Grundy, Dinh Phung
Information-theoretic Source Code Vulnerability Highlighting. IJCNN (2021)
Guanjun Lin, Jun Zhang, Wei Luo, Lei Pan, Olivier Y. de Vel, Paul Montague, Yang Xiang
Software Vulnerability Discovery via Learning Multi-Domain Knowledge Bases. IEEE Trans. Dependable Secur. Comput. 18 (5) (2021)
Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Seyit Camtepe, Dinh Phung
Understanding and Achieving Efficient Robustness with Adversarial Contrastive Learning. CoRR (2021)
Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness. AAAI (2021)
Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. DeVel, Tamas Abraham, Dinh Phung
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness. CoRR (2020)
Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung
Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability Detection. PAKDD (1) (2020)
Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. DeVel, Tamas Abraham, Dinh Q. Phung
Improving Adversarial Robustness by Enforcing Local and Global Compactness. ECCV (27) (2020)
He Zhao, Trung Le, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung
Towards Understanding Pixel Vulnerability under Adversarial Attacks for Images. CoRR (2020)
Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. DeVel, Tamas Abraham, Dinh Phung
Improving Adversarial Robustness by Enforcing Local and Global Compactness. CoRR (2020)
Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence. IJCNN (2020)
Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung
Code Action Network for Binary Function Scope Identification. PAKDD (1) (2020)
Tuan Nguyen, Trung Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung
Deep Cost-Sensitive Kernel Machine for Binary Software Vulnerability Detection. PAKDD (2) (2020)
Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, Dinh Phung
Code Pointer Network for Binary Function Scope Identification. IJCNN (2020)
He Zhao, Trung Le, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung
Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions. CoRR (2019)
Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. DeVel, Paul Montague, Lizhen Qu, Dinh Q. Phung
Deep Domain Adaptation for Vulnerable Code Function Identification. IJCNN (2019)
Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani
Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking. CoRR (2019)
Junae Kim, David Hubczenko, Paul Montague
Towards Attention Based Vulnerability Discovery Using Source Code Representation. ICANN (4) (2019)
Tue Le, Tuan Nguyen, Trung Le, Dinh Q. Phung, Paul Montague, Olivier Y. de Vel, Lizhen Qu
Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection. ICLR (Poster) (2019)
Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague
Reinforcement Learning for Autonomous Defence in Software-Defined Networking. GameSec (2018)
Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague
Reinforcement Learning for Autonomous Defence in Software-Defined Networking. CoRR (2018)
Guanjun Lin, Jun Zhang, Wei Luo, Lei Pan, Yang Xiang, Olivier Y. de Vel, Paul Montague
Cross-Project Transfer Representation Learning for Vulnerable Function Discovery. IEEE Trans. Ind. Informatics 14 (7) (2018)
Paul Montague, Junae Kim
An efficient semi-supervised SVM for anomaly detection. IJCNN (2017)
Mark Anderson, Paul Montague, Benjamin Long
A Context-Based Integrity Framework. APSEC (2012)
Chris Steketee, Jaimee Brown, Juan Manuel González Nieto, Paul Montague
GBD Threshold Cryptography with an Application to RSA Key Recovery. ACISP (2005)
Brenton Cooper, Paul Montague
Translation of Rights Expressions. ACSW (2005)
Yvonne Hitchcock, Paul Montague, Gary Carter, Ed Dawson
The efficiency of solving multiple discrete logarithm problems and the implications for the security of fixed elliptic curves. Int. J. Inf. Sec. 3 (2) (2004)
Yvonne Hitchcock, Paul Montague, Gary Carter, Ed Dawson
The Security of Fixed versus Random Elliptic Curves in Cryptography. ACISP (2003)
Yvonne Hitchcock, Yiu Shing Terry Tin, Juan Manuel González Nieto, Colin Boyd, Paul Montague
A Password-Based Authenticator: Security Proof and Applications. INDOCRYPT (2003)
Yvonne Hitchcock, Paul Montague
A New Elliptic Curve Scalar Multiplication Algorithm to Resist Simple Power Analysis. ACISP (2002)
Colin Boyd, Paul Montague, Khanh Quoc Nguyen
Elliptic Curve Based Password Authenticated Key Exchange Protocols. ACISP (2001)
Praveen Koduri, Anant Mahajan, Paul Montague, Philip Moseley
An elliptic curve authenticated key exchange based approach to key infrastructure. KES (1999)