Tamas Abraham
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
11
Active years
1998–2026
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Certified but Fooled! Breaking Certified Defenses with Ghost Certificates. | Viet Quoc Vo, Tashreque Mohammed Haq, Paul Montague, Tamas Abraham, Ehsan Abbasnejad, Damith C. Ranasinghe |
| 2025 | ICLR | Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them. | Anh Tuan Bui, Thuy-Trang Vu, Long Tung Vuong, Trung Le, Paul Montague, Tamas Abraham, Junae Kim, Dinh Phung |
| 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 | IJCAI | Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning. | Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein |
| 2020 | ECCV | Improving Adversarial Robustness by Enforcing Local and Global Compactness. | Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. DeVel, Tamas Abraham, Dinh Q. 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 |
| 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 |
| 1998 | ER | Incremental Meta-Mining from Large Temporal Data Sets. | Tamas Abraham, John F. Roddick |