Eldor Abdukhamidov

Orcid: 0000-0001-8530-9477

According to our database1, Eldor Abdukhamidov authored at least 13 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
SingleADV: Single-Class Target-Specific Attack Against Interpretable Deep Learning Systems.
IEEE Trans. Inf. Forensics Secur., 2024

Hardening Interpretable Deep Learning Systems: Investigating Adversarial Threats and Defenses.
IEEE Trans. Dependable Secur. Comput., 2024

2023
Unveiling Vulnerabilities in Interpretable Deep Learning Systems with Query-Efficient Black-box Attacks.
CoRR, 2023

Microbial Genetic Algorithm-based Black-box Attack against Interpretable Deep Learning Systems.
CoRR, 2023

Single-Class Target-Specific Attack against Interpretable Deep Learning Systems.
CoRR, 2023

2022
Multilayer dynamic ensemble model for intensive care unit mortality prediction of neonate patients.
J. Biomed. Informatics, 2022

Interpretations Cannot Be Trusted: Stealthy and Effective Adversarial Perturbations against Interpretable Deep Learning.
CoRR, 2022

MLxPack: Investigating the Effects of Packers on ML-based Malware Detection Systems Using Static and Dynamic Traits.
Proceedings of the CySSS@AsiaCCS'22: Proceedings of the 1st Workshop on Cybersecurity and Social Sciences, 2022

Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware.
Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022

Depth, Breadth, and Complexity: Ways to Attack and Defend Deep Learning Models.
Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022

Black-box and Target-specific Attack Against Interpretable Deep Learning Systems.
Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022

2021
An Exploration of Geo-temporal Characteristics of Users' Reactions on Social Media During the Pandemic.
CoRR, 2021

AdvEdge: Optimizing Adversarial Perturbations Against Interpretable Deep Learning.
Proceedings of the Computational Data and Social Networks - 10th International Conference, 2021


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