AdvEdge: Optimizing Adversarial Perturbations Against Interpretable Deep Learning. - Eldor Abdukhamidov; Mohammed Abuhamad; Firuz Juraev; Eric Chan-Tin; Tamer AbuHmed (CSoNet, 2021)

An Exploration of Geo-temporal Characteristics of Users' Reactions on Social Media During the Pandemic. - Eldor Abdukhamidov; Firuz Juraev; Mohammed Abuhamad; Tamer AbuHmed (CoRR, 2021)

Black-box and Target-specific Attack Against Interpretable Deep Learning Systems. - Eldor Abdukhamidov; Firuz Juraev; Mohammed Abuhamad; Tamer Abuhmed (AsiaCCS, 2022)

Depth, Breadth, and Complexity: Ways to Attack and Defend Deep Learning Models. - Firuz Juraev; Eldor Abdukhamidov; Mohammed Abuhamad; Tamer Abuhmed (AsiaCCS, 2022)

Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware. - Qirui Sun; Eldor Abdukhamidov; Tamer Abuhmed; Mohammed Abuhamad (AsiaCCS, 2022)

MLxPack: Investigating the Effects of Packers on ML-based Malware Detection Systems Using Static and Dynamic Traits. - Qirui Sun; Mohammed Abuhamad; Eldor Abdukhamidov; Eric Chan-Tin; Tamer Abuhmed (CySSS@AsiaCCS, 2022)

Interpretations Cannot Be Trusted: Stealthy and Effective Adversarial Perturbations against Interpretable Deep Learning. - Eldor Abdukhamidov; Mohammed Abuhamad; Simon S. Woo; Eric Chan-Tin; Tamer Abuhmed (CoRR, 2022)

Multilayer dynamic ensemble model for intensive care unit mortality prediction of neonate patients. - Firuz Juraev; Shaker H. Ali El-Sappagh; Eldor Abdukhamidov; Farman Ali 001; Tamer Abuhmed (J. Biomed. Informatics, 2022)

Single-Class Target-Specific Attack against Interpretable Deep Learning Systems. - Eldor Abdukhamidov; Mohammed Abuhamad; George K. Thiruvathukal; Hyoungshick Kim; Tamer Abuhmed (CoRR, 2023)

Microbial Genetic Algorithm-based Black-box Attack against Interpretable Deep Learning Systems. - Eldor Abdukhamidov; Mohammed Abuhamad; Simon S. Woo; Eric Chan-Tin; Tamer Abuhmed (CoRR, 2023)

Unveiling Vulnerabilities in Interpretable Deep Learning Systems with Query-Efficient Black-box Attacks. - Eldor Abdukhamidov; Mohammed Abuhamad; Simon S. Woo; Eric Chan-Tin; Tamer Abuhmed (CoRR, 2023)

Hardening Interpretable Deep Learning Systems: Investigating Adversarial Threats and Defenses. - Eldor Abdukhamidov; Mohammed Abuhamad; Simon S. Woo; Eric Chan-Tin; Tamer Abuhmed (IEEE Trans. Dependable Secur. Comput., 2024)

SingleADV: Single-Class Target-Specific Attack Against Interpretable Deep Learning Systems. - Eldor Abdukhamidov; Mohammed Abuhamad; George K. Thiruvathukal; Hyoungshick Kim; Tamer Abuhmed (IEEE Trans. Inf. Forensics Secur., 2024)

Breaking the Illusion of Security via Interpretation: Interpretable Vision Transformer Systems under Attack. - Eldor Abdukhamidov; Mohammed Abuhamad; Simon S. Woo; Hyoungshick Kim; Tamer Abuhmed (CoRR, 2025)

Attacking interpretable NLP systems. - Eldor Abdukhamidov; Tamer Abuhmed; Joanna C. S. Santos; Mohammed Abuhamad (CoRR, 2025)