Tamas Abraham

According to our database, Tamas Abraham authored at least 22 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation.

Anh Bui, Long Tung Vuong, Khanh Doan, Trung Le, Paul Montague, Tamas Abraham, Dinh Q. Phung

CoRR, 2024

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 De Vel, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe

CoRR, 2024

Removing Undesirable Concepts in Text-to-Image Generative Models with Learnable Prompts.

Anh Tuan Bui, Khanh Doan, Trung Le, Paul Montague, Tamas Abraham, Dinh Q. Phung

CoRR, 2024

EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection.

Shigang Liu, Di Cao, Junae Kim, Tamas Abraham, Paul Montague, Seyit Camtepe, Jun Zhang, Yang Xiang

Proceedings of the 33rd USENIX Security Symposium, 2024

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

Proceedings of the Computer Security - ESORICS 2024, 2024

2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

Proceedings of the 25th International Symposium on Research in Attacks, 2022

Local Intrinsic Dimensionality Signals Adversarial Perturbations.

Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

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

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Towards Understanding Pixel Vulnerability under Adversarial Attacks for Images.

He Zhao, Trung Le, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung

CoRR, 2020

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

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

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

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions.

He Zhao, Trung Le, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung

CoRR, 2019

Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking.

Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani

CoRR, 2019

2018

Reinforcement Learning for Autonomous Defence in Software-Defined Networking.

Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague

Proceedings of the Decision and Game Theory for Security - 9th International Conference, 2018

2006

Event sequence mining to develop profiles for computer forensic investigation purposes.

Tamas Abraham

Proceedings of the proceedings of the Fourth Australasian Symposium on Grid Computing and e-Research (AusGrid 2006) and the Fourth Australasian Information Security Workshop (Network Security) (AISW 2006), 2006

2002

Investigative Profiling with Computer Forensic Log Data and Association Rules.

Tamas Abraham, Olivier Y. de Vel

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Investigative Profile Analysis With Computer Forensic Log Data Using Attribute Generalisation.

Tamas Abraham, Ryan Kling, Olivier Y. de Vel

Proceedings of the 15th Australian Joint Conference on Artificial Intelligence 2002, 2002

1999

Survey of Spatio-Temporal Databases.

Tamas Abraham, John F. Roddick

GeoInformatica, 1999

1998

Opportunities for Knowledge Discovery in Spatio-Temporal Information Systems.

Tamas Abraham, John F. Roddick

Australas. J. Inf. Syst., 1998

Incremental Meta-Mining from Large Temporal Data Sets.

Tamas Abraham, John F. Roddick

Proceedings of the Advances in Database Technologies, 1998