Olivier Y. de Vel

According to our database, Olivier Y. de Vel authored at least 61 papers between 1988 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

Proceedings of the Computer Security - ESORICS 2024, 2024

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

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

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

Doc2vec-based Insider Threat Detection through Behaviour Analysis of Multi-source Security Logs.

Liu Liu, Chao Chen, Jun Zhang, Olivier Y. de Vel, Yang Xiang

Proceedings of the 19th IEEE International Conference on Trust, 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

Insider Threat Identification Using the Simultaneous Neural Learning of Multi-Source Logs.

Liu Liu, Chao Chen, Jun Zhang, Olivier Y. de Vel, Yang Xiang

IEEE Access, 2019

Unsupervised Insider Detection Through Neural Feature Learning and Model Optimisation.

Liu Liu, Chao Chen, Jun Zhang, Olivier Y. de Vel, Yang Xiang

Proceedings of the Network and System Security - 13th International Conference, 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

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

Detecting and Preventing Cyber Insider Threats: A Survey.

Liu Liu, Olivier Y. de Vel, Qing-Long Han, Jun Zhang, Yang Xiang

IEEE Commun. Surv. Tutorials, 2018

Anomaly-Based Insider Threat Detection Using Deep Autoencoders.

Liu Liu, Olivier Y. de Vel, Chao Chen, Jun Zhang, Yang Xiang

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 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

A Data-driven Attack against Support Vectors of SVM.

Shigang Liu, Jun Zhang, Yu Wang, Wanlei Zhou, Yang Xiang, Olivier Y. de Vel

Proceedings of the 2018 on Asia Conference on Computer and Communications Security, 2018

2008

A Simple WordNet-Ontology Based Email Retrieval System for Digital Forensics.

Phan Thien Son, Lan Du, Huidong Jin, Olivier Y. de Vel, Nianjun Liu, Terry Caelli

Proceedings of the Intelligence and Security Informatics, 2008

A latent semantic indexing and WordNet based information retrieval model for digital forensics.

Lan Du, Huidong Jin, Olivier Y. de Vel, Nianjun Liu

Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2008

Knowledge Discovery from Honeypot Data for Monitoring Malicious Attacks.

Huidong Jin, Olivier Y. de Vel, Ke Zhang, Nianjun Liu

Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2006

Learning Semi-Structured Document Categorization Using Bounded-Length Spectrum Sub-Sequence Kernels.

Olivier Y. de Vel

Data Min. Knowl. Discov., 2006

Automated recognition of event scenarios for digital forensics.

Jonathon Abbott, Jim Bell, Andrew J. Clark, Olivier Y. de Vel, George M. Mohay

Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

An Embedded Bayesian Network Hidden Markov Model for Digital Forensics.

Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tibério S. Caetano

Proceedings of the Intelligence and Security Informatics, 2006

2005

Design of a Digital Forensics Image Mining System.

Ross Brown, Binh Pham, Olivier Y. de Vel

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

2004

File classification using byte sub-stream kernels.

Olivier Y. de Vel

Digit. Investig., 2004

2003

Unification and extension of weighted finite automata applicable to image compression.

Zhuhan Jiang, Olivier Y. de Vel, Bruce E. Litow

Theor. Comput. Sci., 2003

2002

Investigative Profiling with Computer Forensic Log Data and Association Rules.

Tamas Abraham, Olivier Y. de Vel

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Investigative Profile Analysis With Computer Forensic Log Data Using Attribute Generalisation.

Tamas Abraham, Ryan Kling, Olivier Y. de Vel

Proceedings of the 15th Australian Joint Conference on Artificial Intelligence 2002, 2002

Gender-Preferential Text Mining of E-mail Discourse.

Malcolm Corney, Olivier Y. de Vel, Alison Anderson, George M. Mohay

Proceedings of the 18th Annual Computer Security Applications Conference (ACSAC 2002), 2002

E-Mail Authorship Attribution for Computer Forensics.

Olivier Y. de Vel, Alison Anderson, Malcolm Corney, George M. Mohay

Proceedings of the Applications of Data Mining in Computer Security, 2002

2001

Mining Email Content for Author Identification Forensics.

Olivier Y. de Vel, Alison Anderson, Malcolm Corney, George M. Mohay

SIGMOD Rec., 2001

An Inference Implementation Based on Extended Weighted Finite Automata.

Zhuhan Jiang, Bruce E. Litow, Olivier Y. de Vel

Proceedings of the 24th Australasian Computer Science Conference (ACSC 2001), 29 January, 2001

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

Object recognition using random image-lines.

Olivier Y. de Vel, Stefan Aeberhard

Image Vis. Comput., 2000

Similarity Enrichment in Image Compression through Weighted Finite Automata.

Zhuhan Jiang, Bruce E. Litow, Olivier Y. de Vel

Proceedings of the Computing and Combinatorics, 6th Annual International Conference, 2000

1999

Line-Based Face Recognition under Varying Pose.

Olivier Y. de Vel, Stefan Aeberhard

IEEE Trans. Pattern Anal. Mach. Intell., 1999

Rapid prototyping of distributed algorithms.

Jiannong Cao, Olivier Y. de Vel, Ling Shi

J. Syst. Softw., 1999

1998

On heuristics for optimal configuration of hierarchical distributed monitoring systems.

Jiannong Cao, Kang Zhang, Olivier Y. de Vel

J. Syst. Softw., 1998

Feature Mining and Mapping of Collinear Data.

Olivier Y. de Vel, Danny Coomans, S. Patrick

Proceedings of the Research and Development in Knowledge Discovery and Data Mining, 1998

View-based object recognition using image lines.

Olivier Y. de Vel, Stefan Aeberhard

Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

Face recognition using multiple image view line segments.

Stefan Aeberhard, Olivier Y. de Vel

Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

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

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

1996

Inducing complex spatial descriptions in two dimensional scenes.

Brendan McCane, Terry Caelli, Olivier Y. de Vel

Proceedings of the Learning and Reasoning with Complex Representations, 1996

1995

On Thai character recognition.

Olivier Y. de Vel, Sujint Wangsuya, Danny Coomans

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Non-Linear Dimensionality Reduction: A Comparative Performance Analysis.

Olivier Y. de Vel, Sofianto Li, Danny Coomans

Proceedings of the Learning from Data, 1995

1994

Comparative analysis of statistical pattern recognition methods in high dimensional settings.

Stefan Aeberhard, Danny Coomans, Olivier Y. de Vel

Pattern Recognit., 1994

Concurrent Simulation of Systolic and Wavefront Array Processor Architectures.

Olivier Y. de Vel, Peter G. Thomas

Int. J. Comput. Simul., 1994

1993

Concurrent Simulation of Instruction Systolic Array Structures.

Olivier Y. de Vel

Proceedings of the MASCOTS '93, 1993

1991

Petri Net Modelling of Occam Programs for Detecting Indeterminacy, Non-termination and Deadlock Anomalies.

Zhiwei Xu, Olivier Y. de Vel

Proceedings of the Fourth International Workshop on Petri Nets and Performance Models, 1991

1990

Multitransputer architecture for the low-level characterization of speech spectrograms.

Olivier Y. de Vel, Peter G. Thomas

Microprocess. Microsystems, 1990

1988

An Iterative Pipelined Array Architecture for the Generalized Matrix Inversion.

Olivier Y. de Vel, E. V. Krishnamurthy

Inf. Process. Lett., 1988