Olivier Y. de Vel

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 27

Top Topics

Partial Observability

Support Vectors

Top Venues

Publications

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)
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)
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)
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)
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)
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, Olivier Y. de Vel, Tamas Abraham, Dinh Phung
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness. AAAI (2021)
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)
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)
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)
Liu Liu, Chao Chen, Jun Zhang, Olivier Y. de Vel, Yang Xiang
Doc2vec-based Insider Threat Detection through Behaviour Analysis of Multi-source Security Logs. TrustCom (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)
Liu Liu, Chao Chen, Jun Zhang, Olivier Y. de Vel, Yang Xiang
Unsupervised Insider Detection Through Neural Feature Learning and Model Optimisation. NSS (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)
Liu Liu, Chao Chen, Jun Zhang, Olivier Y. de Vel, Yang Xiang
Insider Threat Identification Using the Simultaneous Neural Learning of Multi-Source Logs. IEEE Access 7 (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)
Shigang Liu, Jun Zhang, Yu Wang, Wanlei Zhou, Yang Xiang, Olivier Y. de Vel
A Data-driven Attack against Support Vectors of SVM. AsiaCCS (2018)
Liu Liu, Olivier Y. de Vel, Qing-Long Han, Jun Zhang, Yang Xiang
Detecting and Preventing Cyber Insider Threats: A Survey. IEEE Commun. Surv. Tutorials 20 (2) (2018)
Liu Liu, Olivier Y. de Vel, Chao Chen, Jun Zhang, Yang Xiang
Anomaly-Based Insider Threat Detection Using Deep Autoencoders. ICDM Workshops (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)
Phan Thien Son, Lan Du, Huidong Jin, Olivier Y. de Vel, Nianjun Liu, Terry Caelli
A Simple WordNet-Ontology Based Email Retrieval System for Digital Forensics. ISI Workshops (2008)
Lan Du, Huidong Jin, Olivier Y. de Vel, Nianjun Liu
A latent semantic indexing and WordNet based information retrieval model for digital forensics. ISI (2008)
Huidong Jin, Olivier Y. de Vel, Ke Zhang, Nianjun Liu
Knowledge Discovery from Honeypot Data for Monitoring Malicious Attacks. Australasian Conference on Artificial Intelligence (2008)
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tibério S. Caetano
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics. ISI (2006)
Jonathon Abbott, Jim Bell, Andrew J. Clark, Olivier Y. de Vel, George M. Mohay
Automated recognition of event scenarios for digital forensics. SAC (2006)
Olivier Y. de Vel
Learning Semi-Structured Document Categorization Using Bounded-Length Spectrum Sub-Sequence Kernels. Data Min. Knowl. Discov. 13 (3) (2006)
Ross Brown, Binh Pham, Olivier Y. de Vel
Design of a Digital Forensics Image Mining System. KES (3) (2005)
Olivier Y. de Vel
File classification using byte sub-stream kernels. Digit. Investig. 1 (2) (2004)
Zhuhan Jiang, Olivier Y. de Vel, Bruce E. Litow
Unification and extension of weighted finite automata applicable to image compression. Theor. Comput. Sci. 302 (1-3) (2003)
Tamas Abraham, Olivier Y. de Vel
Investigative Profiling with Computer Forensic Log Data and Association Rules. ICDM (2002)
Malcolm Corney, Olivier Y. de Vel, Alison Anderson, George M. Mohay
Gender-Preferential Text Mining of E-mail Discourse. ACSAC (2002)
Tamas Abraham, Ryan Kling, Olivier Y. de Vel
Investigative Profile Analysis With Computer Forensic Log Data Using Attribute Generalisation. AusDM (2002)
Zhuhan Jiang, Bruce E. Litow, Olivier Y. de Vel
An Inference Implementation Based on Extended Weighted Finite Automata. ACSC (2001)
Olivier Y. de Vel, Alison Anderson, Malcolm Corney, George M. Mohay
Mining Email Content for Author Identification Forensics. SIGMOD Rec. 30 (4) (2001)
Olivier Y. de Vel, Stefan Aeberhard
Object recognition using random image-lines. Image Vis. Comput. 18 (3) (2000)
Stefan Aeberhard, Olivier Y. de Vel, Danny Coomans
New Fast Algorithms for Error Rate-Based Stepwise Variable Selection in Discriminant Analysis. SIAM J. Sci. Comput. 22 (3) (2000)
Zhuhan Jiang, Bruce E. Litow, Olivier Y. de Vel
Similarity Enrichment in Image Compression through Weighted Finite Automata. COCOON (2000)
Olivier Y. de Vel, Stefan Aeberhard
Line-Based Face Recognition under Varying Pose. IEEE Trans. Pattern Anal. Mach. Intell. 21 (10) (1999)
Jiannong Cao, Olivier Y. de Vel, Ling Shi
Rapid prototyping of distributed algorithms. J. Syst. Softw. 45 (2) (1999)
Olivier Y. de Vel, Stefan Aeberhard
View-based object recognition using image lines. ICPR (1998)
Olivier Y. de Vel, Danny Coomans, S. Patrick
Feature Mining and Mapping of Collinear Data. PAKDD (1998)
Jiannong Cao, Kang Zhang, Olivier Y. de Vel
On heuristics for optimal configuration of hierarchical distributed monitoring systems. J. Syst. Softw. 43 (3) (1998)
Stefan Aeberhard, Olivier Y. de Vel
Face recognition using multiple image view line segments. ICPR (1998)
Yvette Mallet, Danny Coomans, Jerry Kautsky, Olivier Y. de Vel
Classification Using Adaptive Wavelets for Feature Extraction. IEEE Trans. Pattern Anal. Mach. Intell. 19 (10) (1997)
Brendan McCane, Terry Caelli, Olivier Y. de Vel
Learning to Recognition 3D Objects Using Sparse Depth and Intensity Information. Int. J. Pattern Recognit. Artif. Intell. 11 (6) (1997)
Brendan McCane, Terry Caelli, Olivier Y. de Vel
Inducing complex spatial descriptions in two dimensional scenes. PRICAI Workshops (1996)
Olivier Y. de Vel, Sofianto Li, Danny Coomans
Non-Linear Dimensionality Reduction: A Comparative Performance Analysis. AISTATS (1995)
Olivier Y. de Vel, Sujint Wangsuya, Danny Coomans
On Thai character recognition. ICNN (1995)
Olivier Y. de Vel, Peter G. Thomas
Concurrent Simulation of Systolic and Wavefront Array Processor Architectures. Int. J. Comput. Simul. 4 (1) (1994)
Stefan Aeberhard, Danny Coomans, Olivier Y. de Vel
Comparative analysis of statistical pattern recognition methods in high dimensional settings. Pattern Recognit. 27 (8) (1994)
Olivier Y. de Vel
Concurrent Simulation of Instruction Systolic Array Structures. MASCOTS (1993)
Zhiwei Xu, Olivier Y. de Vel
Petri Net Modelling of Occam Programs for Detecting Indeterminacy, Non-termination and Deadlock Anomalies. PNPM (1991)
Olivier Y. de Vel, Peter G. Thomas
Multitransputer architecture for the low-level characterization of speech spectrograms. Microprocess. Microsystems 14 (5) (1990)
Olivier Y. de Vel, E. V. Krishnamurthy
An Iterative Pipelined Array Architecture for the Generalized Matrix Inversion. Inf. Process. Lett. 26 (5) (1988)