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Journal Articles
- 2022
[j20]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)- 2021
- [j19]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) - 2019
- [j18]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: 183162-183176 (2019) - 2018
- [j17]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): 1397-1417 (2018) - [j16]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) - 2006
- [j15]Olivier Y. de Vel:
Learning Semi-Structured Document Categorization Using Bounded-Length Spectrum Sub-Sequence Kernels. Data Min. Knowl. Discov. 13(3): 309-334 (2006) - 2004
- [j14]Olivier Y. de Vel:
File classification using byte sub-stream kernels. Digit. Investig. 1(2): 150-157 (2004) - 2003
- [j13]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): 275-294 (2003) - 2001
- [j12]Olivier Y. de Vel, Alison Anderson, Malcolm Corney, George M. Mohay:
Mining Email Content for Author Identification Forensics. SIGMOD Rec. 30(4): 55-64 (2001) - 2000
- [j11]Olivier Y. de Vel, Stefan Aeberhard:
Object recognition using random image-lines. Image Vis. Comput. 18(3): 193-198 (2000) - [j10]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): 1036-1052 (2000) - 1999
- [j9]Jiannong Cao, Olivier Y. de Vel, Ling Shi:
Rapid prototyping of distributed algorithms. J. Syst. Softw. 45(2): 141-154 (1999) - [j8]Olivier Y. de Vel, Stefan Aeberhard:
Line-Based Face Recognition under Varying Pose. IEEE Trans. Pattern Anal. Mach. Intell. 21(10): 1081-1088 (1999) - 1998
- [j7]Jiannong Cao, Kang Zhang, Olivier Y. de Vel:
On heuristics for optimal configuration of hierarchical distributed monitoring systems. J. Syst. Softw. 43(3): 197-206 (1998) - 1997
- [j6]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): 909-931 (1997) - [j5]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): 1058-1066 (1997) - 1994
- [j4]Olivier Y. de Vel, Peter G. Thomas:
Concurrent Simulation of Systolic and Wavefront Array Processor Architectures. Int. J. Comput. Simul. 4(1) (1994) - [j3]Stefan Aeberhard, Danny Coomans, Olivier Y. de Vel:
Comparative analysis of statistical pattern recognition methods in high dimensional settings. Pattern Recognit. 27(8): 1065-1077 (1994) - 1990
- [j2]Olivier Y. de Vel, Peter G. Thomas:
Multitransputer architecture for the low-level characterization of speech spectrograms. Microprocess. Microsystems 14(5): 267-275 (1990) - 1988
- [j1]Olivier Y. de Vel, E. V. Krishnamurthy:
An Iterative Pipelined Array Architecture for the Generalized Matrix Inversion. Inf. Process. Lett. 26(5): 263-267 (1988)
Conference and Workshop Papers
- 2023
- [c36]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 - 2022
- [c35]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 - 2021
- [c34]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 - [c33]Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John Grundy, Dinh Phung:
Information-theoretic Source Code Vulnerability Highlighting. IJCNN 2021: 1-8 - 2020
- [c32]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 - [c31]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 - [c30]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 - [c29]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 - [c28]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 - [c27]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 - [c26]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: 301-309 - 2019
- [c25]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 - [c24]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 - [c23]Liu Liu, Chao Chen, Jun Zhang, Olivier Y. de Vel, Yang Xiang:
Unsupervised Insider Detection Through Neural Feature Learning and Model Optimisation. NSS 2019: 18-36 - 2018
- [c22]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: 723-734 - [c21]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 - [c20]Liu Liu, Olivier Y. de Vel, Chao Chen, Jun Zhang, Yang Xiang:
Anomaly-Based Insider Threat Detection Using Deep Autoencoders. ICDM Workshops 2018: 39-48 - 2008
- [c19]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: 470-481 - [c18]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: 70-75 - [c17]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: 217-228 - 2006
- [c16]Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tibério S. Caetano:
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics. ISI 2006: 459-465 - [c15]Jonathon Abbott, Jim Bell, Andrew J. Clark, Olivier Y. de Vel, George M. Mohay:
Automated recognition of event scenarios for digital forensics. SAC 2006: 293-300 - 2005
- [c14]Ross Brown, Binh Pham, Olivier Y. de Vel:
Design of a Digital Forensics Image Mining System. KES (3) 2005: 395-404 - 2002
- [c13]Malcolm Corney, Olivier Y. de Vel, Alison Anderson, George M. Mohay:
Gender-Preferential Text Mining of E-mail Discourse. ACSAC 2002: 282-289 - [c12]Tamas Abraham, Ryan Kling, Olivier Y. de Vel:
Investigative Profile Analysis With Computer Forensic Log Data Using Attribute Generalisation. AusDM 2002: 17-28 - [c11]Tamas Abraham, Olivier Y. de Vel:
Investigative Profiling with Computer Forensic Log Data and Association Rules. ICDM 2002: 11-18 - 2001
- [c10]Zhuhan Jiang, Bruce E. Litow, Olivier Y. de Vel:
An Inference Implementation Based on Extended Weighted Finite Automata. ACSC 2001: 100-108 - 2000
- [c9]Zhuhan Jiang, Bruce E. Litow, Olivier Y. de Vel:
Similarity Enrichment in Image Compression through Weighted Finite Automata. COCOON 2000: 447-456 - 1998
- [c8]Olivier Y. de Vel, Stefan Aeberhard:
View-based object recognition using image lines. ICPR 1998: 805-807 - [c7]Stefan Aeberhard, Olivier Y. de Vel:
Face recognition using multiple image view line segments. ICPR 1998: 1198-1200 - [c6]Olivier Y. de Vel, Danny Coomans, S. Patrick:
Feature Mining and Mapping of Collinear Data. PAKDD 1998: 322-335 - 1996
- [c5]Brendan McCane, Terry Caelli, Olivier Y. de Vel:
Inducing complex spatial descriptions in two dimensional scenes. PRICAI Workshops 1996: 123-132 - 1995
- [c4]Olivier Y. de Vel, Sofianto Li, Danny Coomans:
Non-Linear Dimensionality Reduction: A Comparative Performance Analysis. AISTATS 1995: 323-331 - [c3]Olivier Y. de Vel, Sujint Wangsuya, Danny Coomans:
On Thai character recognition. ICNN 1995: 2095-2098 - 1993
- [c2]Olivier Y. de Vel:
Concurrent Simulation of Instruction Systolic Array Structures. MASCOTS 1993: 38-43 - 1991
- [c1]Zhiwei Xu, Olivier Y. de Vel:
Petri Net Modelling of Occam Programs for Detecting Indeterminacy, Non-termination and Deadlock Anomalies. PNPM 1991: 116-124
Parts in Books or Collections
- 2002
- [p1]Olivier Y. de Vel, Alison Anderson, Malcolm Corney, George M. Mohay:
E-Mail Authorship Attribution for Computer Forensics. Applications of Data Mining in Computer Security 2002: 229-250
Informal and Other Publications
- 2024
- [i9]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) - 2023
- [i8]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) - 2022
- [i7]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) - 2020
- [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) - 2019
- [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
- [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)
Coauthor Index
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