Firuz Juraev

According to our database, Firuz Juraev authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

From Attack to Defense: Insights into Deep Learning Security Measures in Black-Box Settings.

Firuz Juraev, Mohammed Abuhamad, Eric Chan-Tin, George K. Thiruvathukal, Tamer Abuhmed

CoRR, 2024

Impact of Architectural Modifications on Deep Learning Adversarial Robustness.

Firuz Juraev, Mohammed Abuhamad, Simon S. Woo, George K. Thiruvathukal, Tamer Abuhmed

CoRR, 2024

The Impact of Model Variations on the Robustness of Deep Learning Models in Adversarial Settings.

Firuz Juraev, Mohammed Abuhamad, Simon S. Woo, George K. Thiruvathukal, Tamer Abuhmed

Proceedings of the Silicon Valley Cybersecurity Conference, 2024

Unmasking the Vulnerabilities of Deep Learning Models: A Multi-Dimensional Analysis of Adversarial Attacks and Defenses.

Firuz Juraev, Mohammed Abuhamad, Eric Chan-Tin, George K. Thiruvathukal, Tamer Abuhmed

Proceedings of the Silicon Valley Cybersecurity Conference, 2024

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, Tamer Abuhmed

J. Biomed. Informatics, 2022

Depth, Breadth, and Complexity: Ways to Attack and Defend Deep Learning Models.

Firuz Juraev, Eldor Abdukhamidov, Mohammed Abuhamad, Tamer Abuhmed

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.

Eldor Abdukhamidov, Firuz Juraev, Mohammed Abuhamad, Tamer Abuhmed

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.

Eldor Abdukhamidov, Firuz Juraev, Mohammed Abuhamad, Tamer AbuHmed

CoRR, 2021

AdvEdge: Optimizing Adversarial Perturbations Against Interpretable Deep Learning.

Eldor Abdukhamidov, Mohammed Abuhamad, Firuz Juraev, Eric Chan-Tin, Tamer AbuHmed

Proceedings of the Computational Data and Social Networks - 10th International Conference, 2021