News and updates
2025
Welcome new lab members; Leila Shakuova, Abdulrahman Al-Sharabati, Mazen ElFayoumi, and Zichen Song
August 22, 2025
We are excited to welcome Leila, Abdulrahman, Mazen, and Zichen as new graduate students joining our lab. Looking forward to their contributions and collaborations!
AdvChar; Exposing Deep Vulnerabilities in Interpretable NLP Systems
July 22, 2025
Natural Language Processing (NLP) models even those built for transparency and interpretability remain highly vulnerable to adversarial manipulation. Our newly submitted paper, AdvChar, presents a stealthy black-box attack that preserves semantic meaning and interpretability while misleading classifiers. By applying minimal character-level modifications (only two characters on average), AdvChar can dramatically deteriorate model accuracy across seven NLP models and three interpretation paradigms revealing that interpretability tools can be exploited to disguise malicious inputs. Read more on arXiv.
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AdViT; Breaking Vision Transformers and Their Interpreters
July 21, 2025
Vision Transformers (ViTs), often paired with interpretation models, are widely viewed as robust and reliable for security-critical domains such as healthcare, autonomous driving, drones, and robotics. However, our latest paper challenges this assumption by introducing AdViT, a novel attack that successfully deceives both ViT classifiers and their interpreters. AdViT achieves a 100% attack success rate across diverse models, with up to 98% misclassification confidence in white-box and 76% in black-box settings while still producing convincing interpretations. These results reveal that even state-of-the-art transformer systems remain highly vulnerable to stealthy adversarial threats. Read more on arXiv.
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Chronic Kidney Disease Detection Augmented with Hybrid Explainable AI
May 20, 2025
Our paper was presented at the 15th International Conference on Electrical Engineering (ICEENG 2025).
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Stealthy Query-Efficient Opaque Attack Against Interpretable Deep Learning
April 02, 2025
Our paper was published in IEEE Transactions on Reliability.
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Sustainable energy management in the AI era; a comprehensive analysis of ML and DL approaches
February 01, 2025
Our paper was published in *Computing* (Vol. 107, Issue 6, p.132).
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IoT-based approach method for learning geometric shapes in early childhood and device thereof
January 22, 2025
Our patent application was submitted to the US Patent Office (App. No. 18/821,509).
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Semantic information retrieval method for augmented reality domain and device thereof
January 15, 2025
Our patent application was submitted to the US Patent Office (App. No. 18/818,158).
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Towards Robust Federated Learning Investigating Poisoning Attacks Under Clients Data Heterogeneity
January 03, 2025
Our paper was published in the 2025 19th International Conference on Ubiquitous Information Management and Communication (IMCOM).
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2024
Explainable Multi-Layer Dynamic Ensemble Framework Optimized for Depression Detection and Severity Assessment
October 25, 2024
Our paper was published in Diagnostics journal.
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Smart Collaborative Intrusion Detection System for Securing Vehicular Networks Using Ensemble Machine Learning Model
September 24, 2024
Our paper was published in Information journal.
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New team members joining
September 01, 2024
New researcher joined our team at InfoLab, Welcome Shatha!
New team members joining
September 01, 2024
New researcher joined our team at InfoLab, Welcome Bobonazar!
New team members joining
March 01, 2024
New researcher joined our team at InfoLab, Welcome Abdenour!
2023
Hardening Interpretable Deep Learning Systems Investigating Adversarial Threats and Defenses
December 02, 2023
Our paper was accepted at IEEE Transactions on Dependable and Secure Computing (TDSC)
New team members joining
September 01, 2023
New researchers joined our team at InfoLab, Welcome Chensheng 'Chris' and Shweta!
Explainable AI for Trustworthy AI
April 18, 2023
Our paper on Explainable Artificial Intelligence is available online at Information Fusion Journal (IF:17.56)
Early Prediction of Parkinson's Disease
March 23, 2023
Our paper on early prediction of Parkinson's disease using multimodal deep learning is available at Computer Methods and Programs in Biomedicine (IF:7.02)
Toward Comprehensive Chronic Kidney Disease Prediction Based on Ensemble Deep Learning Models
March 20, 2023
Our paper was published in Applied Sciences journal.
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New team member joining
February 20, 2023
New researcher joined our team at InfoLab, Welcome Amir!
Predicting CTS Diagnosis and Prognosis Based on Machine Learning Techniques
January 29, 2023
Our paper was published in Diagnostics journal.
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Anatomical Structure Segmentation in X-ray
January 16, 2023
Our paper on anatomical structure segmentation in chest X-ray images is available at Scientific Reports (Nature)
A Holistic Approach to Identify and Classify COVID-19 from Chest Radiographs, ECG, and CT-Scan Images Using ShuffleNet Convolutional Neural Network
January 03, 2023
Our paper was published in Diagnostics journal.
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2022
Prediction of Alzheimer's Progression
December 05, 2022
Our paper using multimodal deep learning is available at Information Fusion Journal (IF:17.56)
Colon Cancer Diagnosis Based on Machine Learning and Deep Learning Modalities and Analysis Techniques
November 28, 2022
Our paper was published in Sensors journal.
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AHA-AO Artificial Hummingbird Algorithm with Aquila Optimization for Efficient Feature Selection in Medical Image Classification
September 27, 2022
Our paper was published in Applied Sciences journal.
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New team member joining
September 13, 2022
New researcher joined our team at InfoLab, Welcome Haseeb!
Bug Bounty Competition at SKKU
September 01, 2022
Our lab member Omar got 2nd place in the SKKU Bug Bounty competition
Sentiment Analysis of Users Reactions on Social Media during the Pandemic
May 22, 2022
Our paper was published in Electronics journal.
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MLxPack; Investigating Packers' Effect on Malware Detection
March 01, 2022
Our paper was accepted at CySSS workshop, ACM ASIACCS 2022
Flow Behavior of Mg Alloy using ML
February 27, 2022
Our fourth collaborative paper with Hamad's Lab is published in Mathematics journal
2021
Uzbek Researchers Competition
December 18, 2021
Firuz Juraev won 1st place in IT section at World Association of Youth of Uzbekistan in Korea
Optimizing Adversarial Perturbations
December 04, 2021
Our paper at CSoNET 2021 is available online
Design of Hard Materials Using ML
November 17, 2021
Our third collaborative paper with Hamad's Lab is now online
AdvEdge; Adversarial Perturbations for Interpretable DL
November 15, 2021
Eldor presented our work at CSoNET 2021, Canada
Sepsis Prediction in ICU
November 03, 2021
Our paper is published in Neural Computing and Applications Journal
Discovering Hard Materials
September 28, 2021
Our second paper with Hamad's Lab is now online
New team member joining
September 01, 2021
New researcher joined our team at InfoLab, Welcome Omar!
Alzheimer's Diagnosis Using Semantic Rule-Based Modeling
August 24, 2021
Paper available in CMC-Computers, Materials & Continua journal
Robust Code Authorship Identification
July 19, 2021
Paper published in ACM Transactions on Privacy and Security
An Extended Semantic Interoperability Model for Distributed Electronic Health Record Based on Fuzzy Ontology Semantics
July 19, 2021
Our paper was published in Electronics journal.
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Android Malware Analysis
June 21, 2021
Paper on classification and analysis of Android malware is available online
New team member joining
February 25, 2021
New researcher joined our team at InfoLab, Welcome Sajid!
2020
Hybrid Deep Learning for Alzheimer's
December 25, 2020
Paper available in Knowledge-Based Systems journal
ML-aided Design of Aluminum Alloys
November 20, 2020
First collaborative paper with Hamad's Lab is now online
New team members joining
September 01, 2020
New researchers joined our team at InfoLab, Welcome Firuz, Junaid, and Nasir!
New team members joining
February 25, 2020
New researchers joined our team at InfoLab, Welcome Eldor and Sun!