Olivier Y. de Vel - researchr alias

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Viewing Publication 1 - 54 from 54

2023

Feature-Space Bayesian Adversarial Learning Improved Malware Detector RobustnessBao Gia Doan, Shuiqiao Yang, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranashinghe. AAAI 2023: 14783-14791 [doi]

2022

2021

2020

Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network DefenceYi Han 0003, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani. ijcnn 2020: 1-8 [doi]

Deep Cost-Sensitive Kernel Machine for Binary Software Vulnerability DetectionTuan Nguyen, Trung Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung. pakdd 2020: 164-177 [doi]

Code Action Network for Binary Function Scope IdentificationVan Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung. pakdd 2020: 712-725 [doi]

Code Pointer Network for Binary Function Scope IdentificationVan Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, Dinh Phung. ijcnn 2020: 1-7 [doi]

Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability DetectionVan Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung. pakdd 2020: 699-711 [doi]

2019

2018

Reinforcement Learning for Autonomous Defence in Software-Defined NetworkingYi Han 0003, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague. GameSec 2018: 145-165 [doi]

Anomaly-Based Insider Threat Detection Using Deep AutoencodersLiu Liu 0008, Olivier Y. de Vel, Chao Chen, Jun Zhang 0010, Yang Xiang 0001. icdm 2018: 39-48 [doi]

Cross-Project Transfer Representation Learning for Vulnerable Function DiscoveryGuanjun Lin, Jun Zhang, Wei Luo, Lei Pan 0002, Yang Xiang 0001, Olivier Y. de Vel, Paul Montague. tii, 14(7):3289-3297, 2018. [doi]

A Data-driven Attack against Support Vectors of SVMShigang Liu, Jun Zhang, Yu Wang, Wanlei Zhou, Yang Xiang 0001, Olivier Y. de Vel. ccs 2018: 723-734 [doi]

Detecting and Preventing Cyber Insider Threats: A SurveyLiu Liu, Olivier Y. de Vel, Qing-Long Han, Jun Zhang, Yang Xiang 0001. comsur, 20(2):1397-1417, 2018. [doi]

2008

2006

Automated recognition of event scenarios for digital forensicsJonathon Abbott, Jim Bell, Andrew Clark, Olivier Y. de Vel, George M. Mohay. SAC 2006: 293-300 [doi]

Learning Semi-Structured Document Categorization Using Bounded-Length Spectrum Sub-Sequence KernelsOlivier Y. de Vel. datamine, 13(3):309-334, 2006. [doi]

An Embedded Bayesian Network Hidden Markov Model for Digital ForensicsOlivier Y. de Vel, Nianjun Liu, Terry Caelli, Tibério S. Caetano. isi 2006: 459-465 [doi]

2005

Design of a Digital Forensics Image Mining SystemRoss Brown, Binh Pham, Olivier Y. de Vel. kes 2005: 395-404 [doi]

2004

File classification using byte sub-stream kernelsOlivier Y. de Vel. di, 1(2):150-157, 2004. [doi]

2003

Unification and extension of weighted finite automata applicable to image compressionZhuhan Jiang, Olivier Y. de Vel, Bruce E. Litow. TCS, 302(1-3):275-294, 2003. [doi]

2002

2001

Mining Email Content for Author Identification ForensicsOlivier Y. de Vel, Alison Anderson, Malcolm Corney, George M. Mohay. SIGMOD, 30(4):55-64, 2001. [doi]

An Inference Implementation Based on Extended Weighted Finite AutomataZhuhan Jiang, Bruce E. Litow, Olivier Y. de Vel. acsc 2001: 100-108 [doi]

2000

New Fast Algorithms for Error Rate-Based Stepwise Variable Selection in Discriminant AnalysisStefan Aeberhard, Olivier Y. de Vel, Danny Coomans. siamsc, 22(3):1036-1052, 2000. [doi]

Object recognition using random image-linesOlivier Y. de Vel, Stefan Aeberhard. ivc, 18(3):193-198, 2000. [doi]

Similarity Enrichment in Image Compression through Weighted Finite AutomataZhuhan Jiang, Bruce E. Litow, Olivier Y. de Vel. cocoon 2000: 447-456 [doi]

1999

Rapid prototyping of distributed algorithmsJiannong Cao, Olivier Y. de Vel, Ling Shi. jss, 45(2):141-154, 1999. [doi]

Line-Based Face Recognition under Varying PoseOlivier Y. de Vel, Stefan Aeberhard. pami, 21(10):1081-1088, 1999. [doi]

1998

1997

Classification Using Adaptive Wavelets for Feature ExtractionYvette Mallet, Danny Coomans, Jerry Kautsky, Olivier Y. de Vel. pami, 19(10):1058-1066, 1997.

Learning to Recognition 3D Objects Using Sparse Depth and Intensity InformationBrendan McCane, Terry Caelli, Olivier Y. de Vel. ijprai, 11(6):909-931, 1997.

1996

Inducing complex spatial descriptions in two dimensional scenesBrendan McCane, Terry Caelli, Olivier Y. de Vel. pricai 1998: 123-132

1995

Non-Linear Dimensionality Reduction: A Comparative Performance AnalysisOlivier Y. de Vel, Sofianto Li, Danny Coomans. aistats 1996: 323-331 [doi]

On Thai character recognitionOlivier Y. de Vel, Sujint Wangsuya, Danny Coomans. icnn 1995: 2095-2098 [doi]

1994

Comparative analysis of statistical pattern recognition methods in high dimensional settingsStefan Aeberhard, Danny Coomans, Olivier Y. de Vel. PR, 27(8):1065-1077, 1994. [doi]

Concurrent Simulation of Systolic and Wavefront Array Processor ArchitecturesOlivier Y. de Vel, Peter G. Thomas. ijcs, 4(1), 1994.

1993

Concurrent Simulation of Instruction Systolic Array StructuresOlivier Y. de Vel. mascots 1993: 38-43

1991

Petri Net Modelling of Occam Programs for Detecting Indeterminacy, Non-termination and Deadlock AnomaliesZhiwei Xu, Olivier Y. de Vel. pnpm 1991: 116-124

1990

Multitransputer architecture for the low-level characterization of speech spectrogramsOlivier Y. de Vel, Peter G. Thomas. mam, 14(5):267-275, 1990. [doi]

1988

An Iterative Pipelined Array Architecture for the Generalized Matrix InversionOlivier Y. de Vel, E. V. Krishnamurthy. ipl, 26(5):263-267, 1988.

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