Bao Gia Doan

According to our database, Bao Gia Doan authored at least 11 papers between 2019 and 2024.

Collaborative distances:

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

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

Bayesian Low-Rank LeArning (Bella): A Practical Approach to Bayesian Neural Networks.

Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo, Arash Mohammadi, Hamid Alinejad-Rokny, Dino Sejdinovic, Damith C. Ranasinghe, Ehsan Abbasnejad

CoRR, 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

TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems.

Bao Gia Doan, Minhui Xue, Shiqing Ma, Ehsan Abbasnejad, Damith C. Ranasinghe

IEEE Trans. Inf. Forensics Secur., 2022

Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks.

Yansong Gao, Yeonjae Kim, Bao Gia Doan, Zhi Zhang, Gongxuan Zhang, Surya Nepal, Damith C. Ranasinghe, Hyoungshick Kim

IEEE Trans. Dependable Secur. Comput., 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

Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense.

Bao Gia Doan, Ehsan Abbasnejad, Javen Qinfeng Shi, Damith C. Ranasinghe

Proceedings of the International Conference on Machine Learning, 2022

2020

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review.

Yansong Gao, Bao Gia Doan, Zhi Zhang, Siqi Ma, Jiliang Zhang, Anmin Fu, Surya Nepal, Hyoungshick Kim

CoRR, 2020

Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems.

Bao Gia Doan, Ehsan Abbasnejad, Damith C. Ranasinghe

Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020

2019

DeepCleanse: Input Sanitization Framework Against Trojan Attacks on Deep Neural Network Systems.

Bao Gia Doan, Ehsan Abbasnejad, Damith Chinthana Ranasinghe

CoRR, 2019