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 (14)
2026
VisionDES: Robust and Explainable Dynamic Vision Ensemble
ACM KDD
Proceedings of the 32nd ACM SIGKDD Co...
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08 Aug 2026
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doi:10.1145/3770855.3818121
MM-DES: Enhancing Multimodal Clinical Prediction with Joint Contrastive Embeddings and Dynamic Ensembles
Lecture Notes in Computer Science
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03 Aug 2026
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doi:10.1007/978-3-032-31404-8_18
2024
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
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
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