Olivier Y. de Vel
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
20
Active years
1993–2024
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ACSAC | On the Credibility of Backdoor Attacks Against Object Detectors in the Physical World. | 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 | ESORICS | 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 |
| 2023 | AAAI | 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 |
| 2022 | RAID | 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 |
| 2021 | AAAI | 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 |
| 2021 | IJCNN | Information-theoretic Source Code Vulnerability Highlighting. | Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John Grundy, Dinh Phung |
| 2020 | IJCNN | 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 |
| 2020 | IJCNN | Code Pointer Network for Binary Function Scope Identification. | Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, Dinh Phung |
| 2020 | PAKDD | 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 |
| 2020 | PAKDD | 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 |
| 2020 | PAKDD | 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 |
| 2020 | TrustCom | 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 |
| 2019 | ICLR | 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 |
| 2019 | NSS | Unsupervised Insider Detection Through Neural Feature Learning and Model Optimisation. | Liu Liu, Chao Chen, Jun Zhang, Olivier Y. de Vel, Yang Xiang |
| 2018 | CCS | A Data-driven Attack against Support Vectors of SVM. | Shigang Liu, Jun Zhang, Yu Wang, Wanlei Zhou, Yang Xiang, Olivier Y. de Vel |
| 2018 | ICDM | Anomaly-Based Insider Threat Detection Using Deep Autoencoders. | Liu Liu, Olivier Y. de Vel, Chao Chen, Jun Zhang, Yang Xiang |
| 2008 | ISI | A latent semantic indexing and WordNet based information retrieval model for digital forensics. | Lan Du, Huidong Jin, Olivier Y. de Vel, Nianjun Liu |
| 2008 | ISI | 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 |
| 2006 | ISI | An Embedded Bayesian Network Hidden Markov Model for Digital Forensics. | Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tibrio S. Caetano |
| 2006 | SAC | Automated recognition of event scenarios for digital forensics. | Jonathon Abbott, Jim Bell, Andrew J. Clark, Olivier Y. de Vel, George M. Mohay |
| 2005 | KES | Design of a Digital Forensics Image Mining System. | Ross Brown, Binh Pham, Olivier Y. de Vel |
| 2002 | ACSAC | Gender-Preferential Text Mining of E-mail Discourse. | Malcolm Corney, Olivier Y. de Vel, Alison Anderson, George M. Mohay |
| 2002 | AusDM | Investigative Profile Analysis With Computer Forensic Log Data Using Attribute Generalisation. | Tamas Abraham, Ryan Kling, Olivier Y. de Vel |
| 2002 | ICDM | Investigative Profiling with Computer Forensic Log Data and Association Rules. | Tamas Abraham, Olivier Y. de Vel |
| 2000 | COCOON | Similarity Enrichment in Image Compression through Weighted Finite Automata. | Zhuhan Jiang, Bruce E. Litow, Olivier Y. de Vel |
| 1998 | ICPR | Face recognition using multiple image view line segments. | Stefan Aeberhard, Olivier Y. de Vel |
| 1998 | ICPR | View-based object recognition using image lines. | Olivier Y. de Vel, Stefan Aeberhard |
| 1998 | PAKDD | Feature Mining and Mapping of Collinear Data. | Olivier Y. de Vel, Danny Coomans, S. Patrick |
| 1996 | PRICAI | Inducing complex spatial descriptions in two dimensional scenes. | Brendan McCane, Terry Caelli, Olivier Y. de Vel |
| 1995 | AISTATS | Non-Linear Dimensionality Reduction: A Comparative Performance Analysis. | Olivier Y. de Vel, Sofianto Li, Danny Coomans |
| 1993 | MASCOTS | Concurrent Simulation of Instruction Systolic Array Structures. | Olivier Y. de Vel |