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Tamas Abraham
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2020 – today
- 2024
- [c14]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. ESORICS (1) 2024: 45-65 - [c13]Shigang Liu, Di Cao, Junae Kim, Tamas Abraham, Paul Montague, Seyit Camtepe, Jun Zhang, Yang Xiang:
EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection. USENIX Security Symposium 2024 - [i12]Anh Tuan Bui, Khanh Doan, Trung Le, Paul Montague, Tamas Abraham, Dinh Q. Phung:
Removing Undesirable Concepts in Text-to-Image Generative Models with Learnable Prompts. CoRR abs/2403.12326 (2024) - [i11]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) - [i10]Shigang Liu, Di Cao, Junae Kim, Tamas Abraham, Paul Montague, Seyit Camtepe, Jun Zhang, Yang Xiang:
EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection. CoRR abs/2407.19216 (2024) - [i9]Bao Gia Doan, Dang Quang Nguyen, Callum Lindquist, Paul Montague, Tamas Abraham, Olivier De Vel, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe:
On the Credibility of Backdoor Attacks Against Object Detectors in the Physical World. CoRR abs/2408.12122 (2024) - 2023
- [c12]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 - [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
- [c11]Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein
:
Local Intrinsic Dimensionality Signals Adversarial Perturbations. CDC 2022: 6118-6125 - [c10]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 - [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) - 2021
- [c9]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 - [c8]Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein:
Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning. IJCAI 2021: 3176-3184 - 2020
- [c7]Tuan-Anh Bui
Improving Adversarial Robustness by Enforcing Local and Global Compactness. ECCV (27) 2020: 209-223 - [c6]Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence. IJCNN 2020: 1-8 - [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
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness. CoRR abs/2009.09612 (2020) - [i4]He Zhao
Towards Understanding Pixel Vulnerability under Adversarial Attacks for Images. CoRR abs/2010.06131 (2020)
2010 – 2019
- 2019
- [i3]Yi Han
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
- [c5]Yi Han
Reinforcement Learning for Autonomous Defence in Software-Defined Networking. GameSec 2018: 145-165 - [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)
2000 – 2009
- 2006
- [c4]Tamas Abraham:
Event sequence mining to develop profiles for computer forensic investigation purposes. ACSW 2006: 145-153 - 2002
- [c3]Tamas Abraham, Ryan Kling, Olivier Y. de Vel:
Investigative Profile Analysis With Computer Forensic Log Data Using Attribute Generalisation. AusDM 2002: 17-28 - [c2]Tamas Abraham, Olivier Y. de Vel:
Investigative Profiling with Computer Forensic Log Data and Association Rules. ICDM 2002: 11-18
1990 – 1999
- 1999
- [j2]Tamas Abraham, John F. Roddick
Survey of Spatio-Temporal Databases. GeoInformatica 3(1): 61-99 (1999) - 1998
- [j1]Tamas Abraham, John F. Roddick:
Opportunities for Knowledge Discovery in Spatio-Temporal Information Systems. Australas. J. Inf. Syst. 5(2) (1998) - [c1]Tamas Abraham, John F. Roddick
Incremental Meta-Mining from Large Temporal Data Sets. ER Workshops 1998: 41-54
Coauthor Index
aka: Olivier Y. DeVel
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last updated on 2024-10-07 22:06 CEST by the dblp team
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