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2020 – today
- 2024
[j6]Rollin Omari
, Junae Kim, Paul Montague:
Adversarial Robustness on Image Classification With k-Means. IEEE Access 12: 28853-28859 (2024)- [c32]Sean Lamont, Michael Norrish, Amir Dezfouli, Christian Walder, Paul Montague:
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving. AAAI 2024: 10607-10615 - [c31]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. ESORICS (1) 2024: 45-65 - [c30]Andrew C. Cullen, Shijie Liu, Paul Montague, Sarah Monazam Erfani, Benjamin I. P. Rubinstein:
Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples. ICML 2024 - [c29]Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein:
It's Simplex! Disaggregating Measures to Improve Certified Robustness. SP 2024: 2886-2900 - [c28]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 - [i22]Sean Lamont, Michael Norrish, Amir Dezfouli, Christian Walder, Paul Montague:
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving. CoRR abs/2403.03401 (2024) - [i21]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 abs/2403.12326 (2024) - [i20]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 abs/2403.18309 (2024) - [i19]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 abs/2407.19216 (2024) - [i18]Bao Gia Doan, Dang Quang Nguyen, Callum Lindquist, Paul Montague, Tamas Abraham, Olivier De Vel, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe:
On the Credibility of Backdoor Attacks Against Object Detectors in the Physical World. CoRR abs/2408.12122 (2024) - [i17]Sean Lamont, Christian Walder, Amir Dezfouli, Paul Montague, Michael Norrish:
3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes. CoRR abs/2410.11133 (2024) - [i16]Anh Bui, Long Tung Vuong, Khanh Doan, Trung Le, Paul Montague, Tamas Abraham, Dinh Q. Phung:
Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation. CoRR abs/2410.15618 (2024) - 2023
- [j5]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) - [c27]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: 8861-8869 - [c26]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. AAAI 2023: 14783-14791 - [c25]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: 147-158 - [i15]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 abs/2301.12680 (2023) - [i14]Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein:
Exploiting Certified Defences to Attack Randomised Smoothing. CoRR abs/2302.04379 (2023) - [i13]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 abs/2304.13229 (2023) - [i12]Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein:
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks. CoRR abs/2308.07553 (2023) - [i11]Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein:
It's Simplex! Disaggregating Measures to Improve Certified Robustness. CoRR abs/2309.11005 (2023) - [i10]Rollin Omari, Junae Kim, Paul Montague:
Adversarial Robustness on Image Classification with k-means. CoRR abs/2312.09533 (2023) - 2022
- [j4]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): 438-451 (2022) - [c24]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: 11438-11460 - [c23]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 - [c22]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: 321-332 - [i9]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 abs/2207.00425 (2022) - [i8]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 abs/2210.06077 (2022) - 2021
- [j3]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): 2469-2485 (2021) - [c21]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: 6831-6839 - [c20]Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John Grundy, Dinh Phung:
Information-theoretic Source Code Vulnerability Highlighting. IJCNN 2021: 1-8 - [i7]Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Seyit Camtepe, Dinh Phung:
Understanding and Achieving Efficient Robustness with Adversarial Contrastive Learning. CoRR abs/2101.10027 (2021) - 2020
- [c19]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: 209-223 - [c18]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: 1-8 - [c17]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: 1-7 - [c16]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: 164-177 - [c15]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: 699-711 - [c14]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: 712-725 - [i6]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 abs/2007.05123 (2020) - [i5]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 abs/2009.09612 (2020) - [i4]He Zhao, Trung Le, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung:
Towards Understanding Pixel Vulnerability under Adversarial Attacks for Images. CoRR abs/2010.06131 (2020)
2010 – 2019
- 2019
- [c13]Junae Kim, David Hubczenko, Paul Montague:
Towards Attention Based Vulnerability Discovery Using Source Code Representation. ICANN (4) 2019: 731-746 - [c12]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 - [c11]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: 1-8 - [i3]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 abs/1902.09062 (2019) - [i2]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 abs/1910.01329 (2019) - 2018
- [j2]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): 3289-3297 (2018) - [c10]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: 145-165 - [i1]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 abs/1808.05770 (2018) - 2017
- [c9]Paul Montague, Junae Kim:
An efficient semi-supervised SVM for anomaly detection. IJCNN 2017: 2843-2850 - 2012
- [c8]Mark Anderson, Paul Montague, Benjamin Long:
A Context-Based Integrity Framework. APSEC 2012: 1-9
2000 – 2009
- 2005
- [c7]Chris Steketee, Jaimee Brown, Juan Manuel González Nieto, Paul Montague:
GBD Threshold Cryptography with an Application to RSA Key Recovery. ACISP 2005: 394-405 - [c6]Brenton Cooper, Paul Montague:
Translation of Rights Expressions. ACSW 2005: 137-144 - [e3]Rajkumar Buyya, Paul D. Coddington, Paul Montague, Reihaneh Safavi-Naini, Nicholas Paul Sheppard, Andrew L. Wendelborn:
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. CRPIT 44, Australian Computer Society 2005, ISBN 1-920682-26-0 [contents] - 2004
- [j1]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): 86-98 (2004) - [e2]James M. Hogan, Paul Montague, Martin K. Purvis, Chris Steketee:
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. CRPIT 32, Australian Computer Society 2004, ISBN 1-920682-14-7 [contents] - 2003
- [c5]Yvonne Hitchcock, Paul Montague, Gary Carter, Ed Dawson:
The Security of Fixed versus Random Elliptic Curves in Cryptography. ACISP 2003: 55-66 - [c4]Yvonne Hitchcock, Yiu Shing Terry Tin, Juan Manuel González Nieto, Colin Boyd, Paul Montague:
A Password-Based Authenticator: Security Proof and Applications. INDOCRYPT 2003: 388-401 - [e1]Chris W. Johnson, Paul Montague, Chris Steketee:
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. CRPIT 21, Australian Computer Society 2003, ISBN 1-920682-00-7 [contents] - 2002
- [c3]Yvonne Hitchcock, Paul Montague:
A New Elliptic Curve Scalar Multiplication Algorithm to Resist Simple Power Analysis. ACISP 2002: 214-225 - 2001
- [c2]Colin Boyd, Paul Montague, Khanh Quoc Nguyen:
Elliptic Curve Based Password Authenticated Key Exchange Protocols. ACISP 2001: 487-501
1990 – 1999
- 1999
- [c1]Praveen Koduri, Anant Mahajan, Paul Montague, Philip Moseley:
An elliptic curve authenticated key exchange based approach to key infrastructure. KES 1999: 513-517
Coauthor Index
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