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ORCIDEldor Abdukhamidov
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2020 – today
- 2024
[j3]Eldor Abdukhamidov
, Mohammed Abuhamad, Simon S. Woo, Eric Chan-Tin, Tamer Abuhmed:
Hardening Interpretable Deep Learning Systems: Investigating Adversarial Threats and Defenses. IEEE Trans. Dependable Secur. Comput. 21(4): 3963-3976 (2024)- [j2]Eldor Abdukhamidov, Mohammed Abuhamad, George K. Thiruvathukal, Hyoungshick Kim, Tamer Abuhmed:
SingleADV: Single-Class Target-Specific Attack Against Interpretable Deep Learning Systems. IEEE Trans. Inf. Forensics Secur. 19: 5985-5998 (2024) - 2023
- [i5]Eldor Abdukhamidov, Mohammed Abuhamad, George K. Thiruvathukal, Hyoungshick Kim, Tamer Abuhmed:
Single-Class Target-Specific Attack against Interpretable Deep Learning Systems. CoRR abs/2307.06484 (2023) - [i4]Eldor Abdukhamidov, Mohammed Abuhamad, Simon S. Woo, Eric Chan-Tin, Tamer Abuhmed:
Microbial Genetic Algorithm-based Black-box Attack against Interpretable Deep Learning Systems. CoRR abs/2307.06496 (2023) - [i3]Eldor Abdukhamidov, Mohammed Abuhamad, Simon S. Woo, Eric Chan-Tin, Tamer Abuhmed:
Unveiling Vulnerabilities in Interpretable Deep Learning Systems with Query-Efficient Black-box Attacks. CoRR abs/2307.11906 (2023) - 2022
- [j1]Firuz Juraev, Shaker H. Ali El-Sappagh, Eldor Abdukhamidov, Farman Ali, Tamer Abuhmed:
Multilayer dynamic ensemble model for intensive care unit mortality prediction of neonate patients. J. Biomed. Informatics 135: 104216 (2022) - [c5]Firuz Juraev, Eldor Abdukhamidov, Mohammed Abuhamad, Tamer Abuhmed:
Depth, Breadth, and Complexity: Ways to Attack and Defend Deep Learning Models. AsiaCCS 2022: 1207-1209 - [c4]Eldor Abdukhamidov, Firuz Juraev, Mohammed Abuhamad, Tamer Abuhmed:
Black-box and Target-specific Attack Against Interpretable Deep Learning Systems. AsiaCCS 2022: 1216-1218 - [c3]Qirui Sun, Eldor Abdukhamidov, Tamer Abuhmed, Mohammed Abuhamad:
Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware. AsiaCCS 2022: 1240-1242 - [c2]Qirui Sun, Mohammed Abuhamad, Eldor Abdukhamidov, Eric Chan-Tin, Tamer Abuhmed:
MLxPack: Investigating the Effects of Packers on ML-based Malware Detection Systems Using Static and Dynamic Traits. CySSS@AsiaCCS 2022: 11-18 - [i2]Eldor Abdukhamidov, Mohammed Abuhamad, Simon S. Woo, Eric Chan-Tin, Tamer Abuhmed:
Interpretations Cannot Be Trusted: Stealthy and Effective Adversarial Perturbations against Interpretable Deep Learning. CoRR abs/2211.15926 (2022) - 2021
- [c1]Eldor Abdukhamidov, Mohammed Abuhamad, Firuz Juraev, Eric Chan-Tin, Tamer AbuHmed:
AdvEdge: Optimizing Adversarial Perturbations Against Interpretable Deep Learning. CSoNet 2021: 93-105 - [i1]Eldor Abdukhamidov, Firuz Juraev, Mohammed Abuhamad, Tamer AbuHmed:
An Exploration of Geo-temporal Characteristics of Users' Reactions on Social Media During the Pandemic. CoRR abs/2103.13032 (2021)
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