Olivier Y. de Vel

66 papers A* 3A 5B 9C 2Misc 3Journal 29Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Graph spectral purification for backdoor defence in graph neural networks. World Wide Web (WWW) 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
2024	J	`jnl`	Bayesian Learned Models Can Detect Adversarial Malware For Free. CoRR Bao Gia Doan, Dang Quang Nguyen, Paul Montague, Tamas Abraham, Olivier Y. de Vel, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe
2024	—	`conf`	Bayesian Learned Models Can Detect Adversarial Malware for Free. ESORICS (1) Bao Gia Doan, Dang Quang Nguyen, Paul Montague, Tamas Abraham, Olivier Y. de Vel, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe
2024	A	`conf`	On the Credibility of Backdoor Attacks Against Object Detectors in the Physical World. ACSAC 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
2024	J	`jnl`	On the Credibility of Backdoor Attacks Against Object Detectors in the Physical World. CoRR 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
2023	A*	`conf`	Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness. AAAI Bao Gia Doan, Shuiqiao Yang, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe
2023	J	`jnl`	Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness. CoRR Bao Gia Doan, Shuiqiao Yang, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe
2022	J	`jnl`	CD-VulD: Cross-Domain Vulnerability Discovery Based on Deep Domain Adaptation. IEEE Trans. Dependable Secur. Comput. Shigang Liu, Guanjun Lin, Lizhen Qu, Jun Zhang, Olivier Y. de Vel, Paul Montague, Yang Xiang
2022	A	`conf`	Transferable Graph Backdoor Attack. RAID Shuiqiao Yang, Bao Gia Doan, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Seyit Camtepe, Damith C. Ranasinghe, Salil S. Kanhere
2022	J	`jnl`	Transferable Graph Backdoor Attack. CoRR Shuiqiao Yang, Bao Gia Doan, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Seyit Camtepe, Damith C. Ranasinghe, Salil S. Kanhere
2021	A*	`conf`	Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness. AAAI Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung
2021	B	`conf`	Information-theoretic Source Code Vulnerability Highlighting. IJCNN Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John Grundy, Dinh Phung
2021	J	`jnl`	Software Vulnerability Discovery via Learning Multi-Domain Knowledge Bases. IEEE Trans. Dependable Secur. Comput. Guanjun Lin, Jun Zhang, Wei Luo, Lei Pan, Olivier Y. de Vel, Paul Montague, Yang Xiang
2020	B	`conf`	Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence. IJCNN Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani
2020	—	`conf`	Code Action Network for Binary Function Scope Identification. PAKDD (1) Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung
2020	B	`conf`	Code Pointer Network for Binary Function Scope Identification. IJCNN Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, Dinh Phung
2020	—	`conf`	Deep Cost-Sensitive Kernel Machine for Binary Software Vulnerability Detection. PAKDD (2) Tuan Nguyen, Trung Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung
2020	B	`conf`	Doc2vec-based Insider Threat Detection through Behaviour Analysis of Multi-source Security Logs. TrustCom Liu Liu, Chao Chen, Jun Zhang, Olivier Y. de Vel, Yang Xiang
2020	—	`conf`	Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability Detection. PAKDD (1) Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung
2020	J	`jnl`	Towards Understanding Pixel Vulnerability under Adversarial Attacks for Images. CoRR He Zhao, Trung Le, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung
2019	J	`jnl`	Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking. CoRR Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani
2019	J	`jnl`	Insider Threat Identification Using the Simultaneous Neural Learning of Multi-Source Logs. IEEE Access Liu Liu, Chao Chen, Jun Zhang, Olivier Y. de Vel, Yang Xiang
2019	—	`conf`	Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection. ICLR (Poster) Tue Le, Tuan Nguyen, Trung Le, Dinh Q. Phung, Paul Montague, Olivier Y. de Vel, Lizhen Qu
2019	J	`jnl`	Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions. CoRR He Zhao, Trung Le, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung
2019	B	`conf`	Unsupervised Insider Detection Through Neural Feature Learning and Model Optimisation. NSS Liu Liu, Chao Chen, Jun Zhang, Olivier Y. de Vel, Yang Xiang
2018	A	`conf`	A Data-driven Attack against Support Vectors of SVM. AsiaCCS Shigang Liu, Jun Zhang, Yu Wang, Wanlei Zhou, Yang Xiang, Olivier Y. de Vel
2018	—	`conf`	Anomaly-Based Insider Threat Detection Using Deep Autoencoders. ICDM Workshops Liu Liu, Olivier Y. de Vel, Chao Chen, Jun Zhang, Yang Xiang
2018	J	`jnl`	Cross-Project Transfer Representation Learning for Vulnerable Function Discovery. IEEE Trans. Ind. Informatics Guanjun Lin, Jun Zhang, Wei Luo, Lei Pan, Yang Xiang, Olivier Y. de Vel, Paul Montague
2018	J	`jnl`	Detecting and Preventing Cyber Insider Threats: A Survey. IEEE Commun. Surv. Tutorials Liu Liu, Olivier Y. de Vel, Qing-Long Han, Jun Zhang, Yang Xiang
2018	—	`conf`	Reinforcement Learning for Autonomous Defence in Software-Defined Networking. GameSec Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague
2018	J	`jnl`	Reinforcement Learning for Autonomous Defence in Software-Defined Networking. CoRR Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague
2008	—	`conf`	A Simple WordNet-Ontology Based Email Retrieval System for Digital Forensics. ISI Workshops Phan Thien Son, Lan Du, Huidong Jin, Olivier Y. de Vel, Nianjun Liu, Terry Caelli
2008	C	`conf`	A latent semantic indexing and WordNet based information retrieval model for digital forensics. ISI Lan Du, Huidong Jin, Olivier Y. de Vel, Nianjun Liu
2008	—	`conf`	Knowledge Discovery from Honeypot Data for Monitoring Malicious Attacks. Australasian Conference on Artificial Intelligence Huidong Jin, Olivier Y. de Vel, Ke Zhang, Nianjun Liu
2006	C	`conf`	An Embedded Bayesian Network Hidden Markov Model for Digital Forensics. ISI Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tibério S. Caetano
2006	Misc	`conf`	Automated recognition of event scenarios for digital forensics. SAC Jonathon Abbott, Jim Bell, Andrew J. Clark, Olivier Y. de Vel, George M. Mohay
2006	J	`jnl`	Learning Semi-Structured Document Categorization Using Bounded-Length Spectrum Sub-Sequence Kernels. Data Min. Knowl. Discov. Olivier Y. de Vel
2005	—	`conf`	Design of a Digital Forensics Image Mining System. KES (3) Ross Brown, Binh Pham, Olivier Y. de Vel
2004	J	`jnl`	File classification using byte sub-stream kernels. Digit. Investig. Olivier Y. de Vel
2003	J	`jnl`	Unification and extension of weighted finite automata applicable to image compression. Theor. Comput. Sci. Zhuhan Jiang, Olivier Y. de Vel, Bruce E. Litow
2002	—	`ch.`	E-Mail Authorship Attribution for Computer Forensics. Applications of Data Mining in Computer Security Olivier Y. de Vel, Alison Anderson, Malcolm Corney, George M. Mohay
2002	A	`conf`	Gender-Preferential Text Mining of E-mail Discourse. ACSAC Malcolm Corney, Olivier Y. de Vel, Alison Anderson, George M. Mohay
2002	Misc	`conf`	Investigative Profile Analysis With Computer Forensic Log Data Using Attribute Generalisation. AusDM Tamas Abraham, Ryan Kling, Olivier Y. de Vel
2002	A*	`conf`	Investigative Profiling with Computer Forensic Log Data and Association Rules. ICDM Tamas Abraham, Olivier Y. de Vel
2001	—	`conf`	An Inference Implementation Based on Extended Weighted Finite Automata. ACSC Zhuhan Jiang, Bruce E. Litow, Olivier Y. de Vel
2001	J	`jnl`	Mining Email Content for Author Identification Forensics. SIGMOD Rec. Olivier Y. de Vel, Alison Anderson, Malcolm Corney, George M. Mohay
2000	J	`jnl`	New Fast Algorithms for Error Rate-Based Stepwise Variable Selection in Discriminant Analysis. SIAM J. Sci. Comput. Stefan Aeberhard, Olivier Y. de Vel, Danny Coomans
2000	J	`jnl`	Object recognition using random image-lines. Image Vis. Comput. Olivier Y. de Vel, Stefan Aeberhard
2000	Misc	`conf`	Similarity Enrichment in Image Compression through Weighted Finite Automata. COCOON Zhuhan Jiang, Bruce E. Litow, Olivier Y. de Vel
1999	J	`jnl`	Line-Based Face Recognition under Varying Pose. IEEE Trans. Pattern Anal. Mach. Intell. Olivier Y. de Vel, Stefan Aeberhard
1999	J	`jnl`	Rapid prototyping of distributed algorithms. J. Syst. Softw. Jiannong Cao, Olivier Y. de Vel, Ling Shi
1998	B	`conf`	Face recognition using multiple image view line segments. ICPR Stefan Aeberhard, Olivier Y. de Vel
1998	B	`conf`	Feature Mining and Mapping of Collinear Data. PAKDD Olivier Y. de Vel, Danny Coomans, S. Patrick
1998	J	`jnl`	On heuristics for optimal configuration of hierarchical distributed monitoring systems. J. Syst. Softw. Jiannong Cao, Kang Zhang, Olivier Y. de Vel
1998	B	`conf`	View-based object recognition using image lines. ICPR Olivier Y. de Vel, Stefan Aeberhard
1997	J	`jnl`	Classification Using Adaptive Wavelets for Feature Extraction. IEEE Trans. Pattern Anal. Mach. Intell. Yvette Mallet, Danny Coomans, Jerry Kautsky, Olivier Y. de Vel
1997	J	`jnl`	Learning to Recognition 3D Objects Using Sparse Depth and Intensity Information. Int. J. Pattern Recognit. Artif. Intell. Brendan McCane, Terry Caelli, Olivier Y. de Vel
1996	—	`conf`	Inducing complex spatial descriptions in two dimensional scenes. PRICAI Workshops Brendan McCane, Terry Caelli, Olivier Y. de Vel
1995	A	`conf`	Non-Linear Dimensionality Reduction: A Comparative Performance Analysis. AISTATS Olivier Y. de Vel, Sofianto Li, Danny Coomans
1995	—	`conf`	On Thai character recognition. ICNN Olivier Y. de Vel, Sujint Wangsuya, Danny Coomans
1994	J	`jnl`	Comparative analysis of statistical pattern recognition methods in high dimensional settings. Pattern Recognit. Stefan Aeberhard, Danny Coomans, Olivier Y. de Vel
1994	J	`jnl`	Concurrent Simulation of Systolic and Wavefront Array Processor Architectures. Int. J. Comput. Simul. Olivier Y. de Vel, Peter G. Thomas
1993	B	`conf`	Concurrent Simulation of Instruction Systolic Array Structures. MASCOTS Olivier Y. de Vel
1991	—	`conf`	Petri Net Modelling of Occam Programs for Detecting Indeterminacy, Non-termination and Deadlock Anomalies. PNPM Zhiwei Xu, Olivier Y. de Vel
1990	J	`jnl`	Multitransputer architecture for the low-level characterization of speech spectrograms. Microprocess. Microsystems Olivier Y. de Vel, Peter G. Thomas
1988	J	`jnl`	An Iterative Pipelined Array Architecture for the Generalized Matrix Inversion. Inf. Process. Lett. Olivier Y. de Vel, E. V. Krishnamurthy