Bao Gia Doan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Dependency Graph

Information Gain

Top Venues

IEEE Trans. Inf. Forensics Secur.

Publications

Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo, Arash Mohammadi, Hamid Alinejad-Rokny, Dino Sejdinovic, Damith C. Ranasinghe, Ehsan Abbasnejad
Bayesian Low-Rank LeArning (Bella): A Practical Approach to Bayesian Neural Networks. CoRR (2024)
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 (2024)
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 (2023)
Bao Gia Doan, Shuiqiao Yang, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranashinghe
Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness. AAAI (2023)
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)
Bao Gia Doan, Ehsan Abbasnejad, Javen Qinfeng Shi, Damith C. Ranasinghe
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense. CoRR (2022)
Bao Gia Doan, Minhui Xue, Shiqing Ma, Ehsan Abbasnejad, Damith C. Ranasinghe
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Bao Gia Doan, Ehsan Abbasnejad, Javen Qinfeng Shi, Damith Ranashinghe
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense. ICML (2022)
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 (2022)
Yansong Gao, Yeonjae Kim, Bao Gia Doan, Zhi Zhang, Gongxuan Zhang, Surya Nepal, Damith C. Ranasinghe, Hyoungshick Kim
Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks. IEEE Trans. Dependable Secur. Comput. 19 (4) (2022)
Bao Gia Doan, Minhui Xue, Shiqing Ma, Ehsan Abbasnejad, Damith C. Ranasinghe
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems. CoRR (2021)
Yansong Gao, Bao Gia Doan, Zhi Zhang, Siqi Ma, Jiliang Zhang, Anmin Fu, Surya Nepal, Hyoungshick Kim
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review. CoRR (2020)
Bao Gia Doan, Ehsan Abbasnejad, Damith C. Ranasinghe
Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems. ACSAC (2020)
Yansong Gao, Yeonjae Kim, Bao Gia Doan, Zhi Zhang, Gongxuan Zhang, Surya Nepal, Damith Chinthana Ranasinghe, Hyoungshick Kim
Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks. CoRR (2019)
Bao Gia Doan, Ehsan Abbasnejad, Damith Chinthana Ranasinghe
DeepCleanse: Input Sanitization Framework Against Trojan Attacks on Deep Neural Network Systems. CoRR (2019)