DeepCleanse: Input Sanitization Framework Against Trojan Attacks on Deep Neural Network Systems. - Bao Gia Doan; Ehsan Abbasnejad; Damith Chinthana Ranasinghe (CoRR, 2019)

Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems. - Bao Gia Doan; Ehsan Abbasnejad; Damith C. Ranasinghe (ACSAC, 2020)

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review. - Yansong Gao 001; Bao Gia Doan; Zhi Zhang 001; Siqi Ma; Jiliang Zhang 002; Anmin Fu; Surya Nepal; Hyoungshick Kim (CoRR, 2020)

Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense. - Bao Gia Doan; Ehsan Abbasnejad; Javen Qinfeng Shi; Damith C. Ranasinghe (ICML, 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 (RAID, 2022)

Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks. - Yansong Gao 001; Yeonjae Kim; Bao Gia Doan; Zhi Zhang 001; Gongxuan Zhang; Surya Nepal; Damith C. Ranasinghe; Hyoungshick Kim (IEEE Trans. Dependable Secur. Comput., 2022)

TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems. - Bao Gia Doan; Minhui Xue 001; Shiqing Ma; Ehsan Abbasnejad; Damith C. Ranasinghe (IEEE Trans. Inf. Forensics Secur., 2022)

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 (AAAI, 2023)

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 (ACSAC, 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 (ESORICS (1), 2024)

Bayesian Low-Rank LeArning (Bella): A Practical Approach to Bayesian Neural Networks. - Bao Gia Doan; Afshar Shamsi; Xiao-Yu Guo; Arash Mohammadi 001; Hamid Alinejad-Rokny; Dino Sejdinovic; Damith C. Ranasinghe; Ehsan Abbasnejad (CoRR, 2024)

Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks. - Bao Gia Doan; Afshar Shamsi; Xiao-Yu Guo; Arash Mohammadi 001; Hamid Alinejad-Rokny; Dino Sejdinovic; Damien Teney; Damith C. Ranasinghe; Ehsan Abbasnejad (AAAI, 2025)

Graph spectral purification for backdoor defence in graph neural networks. - Shuiqiao Yang; Bao Gia Doan; Paul Montague; Olivier Y. de Vel; Tamas Abraham; Alsharif Abuadbba; Ehsan Abbasnejad; Seyit Camtepe; Damith C. Ranasinghe; Salil S. Kanhere (World Wide Web (WWW), 2025)