Selective Publications

AAAI'2025

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

ACSAC'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

ESORICS'2024

Bayesian Learned Models Can Detect Adversarial Malware For Free

Bao Gia Doan, Dang Quang Nguyen, Paul Montague, Tamas Abraham, Olivier De Vel, Seyit Camtepe, Salil S Kanhere, Ehsan Abbasnejad, Damith C Ranasinghe

AAAI'2023

Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness

Bao Gia Doan, Shuiqiao Yang, Paul Montague, Olivier De Vel, Tamas Abraham, Seyit Camtepe, Salil S Kanhere, Ehsan Abbasnejad, Damith C Ranasinghe

ICML'2022

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

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

IEEE Transactions on Information Forensics and Security (TIFS)

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

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

ACSAC'2020

Februus: Input purification defense against trojan attacks on deep neural network systems

Bao Gia Doan, Ehsan Abbasnejad, Damith C Ranasinghe

Further publications

https://scholar.google.com/citations?user=IKf830cAAAAJ&hl=en

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