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Bao Gia Doan
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 15
Top Topics
Chi Squared
Dependency Graph
Neural Network
Information Gain
Top Venues
CoRR
IEEE Trans. Inf. Forensics Secur.
RAID
ICML
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Publications
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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)