An Iterative Pipelined Array Architecture for the Generalized Matrix Inversion. - Olivier Y. de Vel; E. V. Krishnamurthy (Inf. Process. Lett., 1988)

Multitransputer architecture for the low-level characterization of speech spectrograms. - Olivier Y. de Vel; Peter G. Thomas (Microprocess. Microsystems, 1990)

Petri Net Modelling of Occam Programs for Detecting Indeterminacy, Non-termination and Deadlock Anomalies. - Zhiwei Xu; Olivier Y. de Vel (PNPM, 1991)

Concurrent Simulation of Instruction Systolic Array Structures. - Olivier Y. de Vel (MASCOTS, 1993)

Concurrent Simulation of Systolic and Wavefront Array Processor Architectures. - Olivier Y. de Vel; Peter G. Thomas (Int. J. Comput. Simul., 1994)

Comparative analysis of statistical pattern recognition methods in high dimensional settings. - Stefan Aeberhard; Danny Coomans; Olivier Y. de Vel (Pattern Recognit., 1994)

Non-Linear Dimensionality Reduction: A Comparative Performance Analysis. - Olivier Y. de Vel; Sofianto Li; Danny Coomans (AISTATS, 1995)

On Thai character recognition. - Olivier Y. de Vel; Sujint Wangsuya; Danny Coomans (ICNN, 1995)

Inducing complex spatial descriptions in two dimensional scenes. - Brendan McCane; Terry Caelli; Olivier Y. de Vel (PRICAI Workshops, 1996)

Learning to Recognition 3D Objects Using Sparse Depth and Intensity Information. - Brendan McCane; Terry Caelli; Olivier Y. de Vel (Int. J. Pattern Recognit. Artif. Intell., 1997)

Classification Using Adaptive Wavelets for Feature Extraction. - Yvette Mallet; Danny Coomans; Jerry Kautsky; Olivier Y. de Vel (IEEE Trans. Pattern Anal. Mach. Intell., 1997)

Face recognition using multiple image view line segments. - Stefan Aeberhard; Olivier Y. de Vel (ICPR, 1998)

View-based object recognition using image lines. - Olivier Y. de Vel; Stefan Aeberhard (ICPR, 1998)

Feature Mining and Mapping of Collinear Data. - Olivier Y. de Vel; Danny Coomans; S. Patrick (PAKDD, 1998)

On heuristics for optimal configuration of hierarchical distributed monitoring systems. - Jiannong Cao 001; Kang Zhang 001; Olivier Y. de Vel (J. Syst. Softw., 1998)

Rapid prototyping of distributed algorithms. - Jiannong Cao 001; Olivier Y. de Vel; Ling Shi (J. Syst. Softw., 1999)

Line-Based Face Recognition under Varying Pose. - Olivier Y. de Vel; Stefan Aeberhard (IEEE Trans. Pattern Anal. Mach. Intell., 1999)

Similarity Enrichment in Image Compression through Weighted Finite Automata. - Zhuhan Jiang; Bruce E. Litow; Olivier Y. de Vel (COCOON, 2000)

Object recognition using random image-lines. - Olivier Y. de Vel; Stefan Aeberhard (Image Vis. Comput., 2000)

New Fast Algorithms for Error Rate-Based Stepwise Variable Selection in Discriminant Analysis. - Stefan Aeberhard; Olivier Y. de Vel; Danny Coomans (SIAM J. Sci. Comput., 2000)

An Inference Implementation Based on Extended Weighted Finite Automata. - Zhuhan Jiang; Bruce E. Litow; Olivier Y. de Vel (ACSC, 2001)

Mining Email Content for Author Identification Forensics. - Olivier Y. de Vel; Alison Anderson; Malcolm Corney; George M. Mohay (SIGMOD Rec., 2001)

E-Mail Authorship Attribution for Computer Forensics. - Olivier Y. de Vel; Alison Anderson; Malcolm Corney; George M. Mohay (Applications of Data Mining in Computer Security, 2002)

Gender-Preferential Text Mining of E-mail Discourse. - Malcolm Corney; Olivier Y. de Vel; Alison Anderson; George M. Mohay (ACSAC, 2002)

Investigative Profile Analysis With Computer Forensic Log Data Using Attribute Generalisation. - Tamas Abraham; Ryan Kling; Olivier Y. de Vel (AusDM, 2002)

Investigative Profiling with Computer Forensic Log Data and Association Rules. - Tamas Abraham; Olivier Y. de Vel (ICDM, 2002)

Unification and extension of weighted finite automata applicable to image compression. - Zhuhan Jiang; Olivier Y. de Vel; Bruce E. Litow (Theor. Comput. Sci., 2003)

File classification using byte sub-stream kernels. - Olivier Y. de Vel (Digit. Investig., 2004)

Design of a Digital Forensics Image Mining System. - Ross Brown 001; Binh Pham 001; Olivier Y. de Vel (KES (3), 2005)

An Embedded Bayesian Network Hidden Markov Model for Digital Forensics. - Olivier Y. de Vel; Nianjun Liu; Terry Caelli; Tibério S. Caetano (ISI, 2006)

Automated recognition of event scenarios for digital forensics. - Jonathon Abbott; Jim Bell; Andrew J. Clark; Olivier Y. de Vel; George M. Mohay (SAC, 2006)

Learning Semi-Structured Document Categorization Using Bounded-Length Spectrum Sub-Sequence Kernels. - Olivier Y. de Vel (Data Min. Knowl. Discov., 2006)

Knowledge Discovery from Honeypot Data for Monitoring Malicious Attacks. - Huidong Jin 001; Olivier Y. de Vel; Ke Zhang; Nianjun Liu (Australasian Conference on Artificial Intelligence, 2008)

A latent semantic indexing and WordNet based information retrieval model for digital forensics. - Lan Du 002; Huidong Jin 001; Olivier Y. de Vel; Nianjun Liu (ISI, 2008)

A Simple WordNet-Ontology Based Email Retrieval System for Digital Forensics. - Phan Thien Son; Lan Du 002; Huidong Jin 001; Olivier Y. de Vel; Nianjun Liu; Terry Caelli (ISI Workshops, 2008)

A Data-driven Attack against Support Vectors of SVM. - Shigang Liu; Jun Zhang 010; Yu Wang 017; Wanlei Zhou 001; Yang Xiang 001; Olivier Y. de Vel (AsiaCCS, 2018)

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)

Anomaly-Based Insider Threat Detection Using Deep Autoencoders. - Liu Liu 008; Olivier Y. de Vel; Chao Chen 015; Jun Zhang 010; Yang Xiang 001 (ICDM Workshops, 2018)

Detecting and Preventing Cyber Insider Threats: A Survey. - Liu Liu 008; Olivier Y. de Vel; Qing-Long Han; Jun Zhang 010; Yang Xiang 001 (IEEE Commun. Surv. Tutorials, 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)

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)

Unsupervised Insider Detection Through Neural Feature Learning and Model Optimisation. - Liu Liu 008; Chao Chen 015; Jun Zhang 010; Olivier Y. de Vel; Yang Xiang 001 (NSS, 2019)

Insider Threat Identification Using the Simultaneous Neural Learning of Multi-Source Logs. - Liu Liu 008; Chao Chen 015; Jun Zhang 010; Olivier Y. de Vel; Yang Xiang 001 (IEEE Access, 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)

Doc2vec-based Insider Threat Detection through Behaviour Analysis of Multi-source Security Logs. - Liu Liu 008; Chao Chen 015; Jun Zhang 010; Olivier Y. de Vel; Yang Xiang 001 (TrustCom, 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)

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)

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)

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)

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)