Firuz Juraev is a combined M.S./Ph.D. student in Computer Science and Engineering at Sungkyunkwan University (SKKU), South Korea. His research interests lie at the intersection of Machine Learning, Federated Learning, and Computer Vision, with a special focus on Multimodal Fusion techniques in the Healthcare domain.
Publications (12)
2024
The Impact of Model Variations on the Robustness of Deep Learning Models in Adversarial Settings
2024 Silicon Valley Cybersecurity Con...
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17 Jun 2024
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doi:10.1109/SVCC61185.2024.10637362
Unmasking the Vulnerabilities of Deep Learning Models: A Multi-Dimensional Analysis of Adversarial Attacks and Defenses
2024 Silicon Valley Cybersecurity Con...
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17 Jun 2024
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doi:10.1109/SVCC61185.2024.10637364
Integrating Digital Twin Technology with Dynamic Ensemble Learning for Sepsis Prediction in Intensive Care Units
지능정보연구
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01 Jun 2024
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doi:http://dx.doi.org/10.13088/jiis.2024.30.2.025
From Attack to Defense: Insights into Deep Learning Security Measures in Black-Box Settings
arXiv
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06 May 2024
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arxiv:2405.01963
Impact of Architectural Modifications on Deep Learning Adversarial Robustness
arXiv
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06 May 2024
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arxiv:2405.01934
Explainable Dynamic Ensemble Framework for Classification Based on the Late Fusion of Heterogeneous Multimodal Data
Intelligent Systems and Applications
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01 Jan 2024
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doi:https://doi.org/10.1007/978-3-031-47715-7_38
2022
Black-box and Target-specific Attack Against Interpretable Deep Learning Systems
Proceedings of the 2022 ACM on Asia C...
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30 May 2022
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doi:10.1145/3488932.3527283
Depth, Breadth, and Complexity: Ways to Attack and Defend Deep Learning Models
Proceedings of the 2022 ACM on Asia C...
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30 May 2022
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doi:10.1145/3488932.3527278
Sentiment Analysis of Users’ Reactions on Social Media during the Pandemic
Electronics
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22 May 2022
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doi:10.3390/electronics11101648
2021
An Exploration of Geo-temporal Characteristics of Users' Reactions on Social Media During the Pandemic
arXiv
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25 Mar 2021
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arxiv:2103.13032
AdvEdge: Optimizing Adversarial Perturbations Against Interpretable Deep Learning
Lecture Notes in Computer Science
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01 Jan 2021
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doi:10.1007/978-3-030-91434-9_9