InfoLab

News & Updates

Latest publications, achievements, and announcements from our lab.

61 Updates

2020–2026 Years

Sep 2026 Latest

2026 12 updates

Publication Sep 22, 2026

Our 4D fMRI CrossFormer research featured by SKKU's S-PRESS

Our recent research, '4DfCF: 4D fMRI CrossFormer Vision Transformer,' published in the IEEE Journal of Biomedical and Health Informatics, has been featured in the Research Stories section of S-PRESS, Sungkyunkwan University's official news outlet. The work introduces a lightweight, explainable vision transformer that jointly models spatial and temporal patterns in 4D fMRI data for brain disorder diagnosis, outperforming comparison models on ADHD, Alzheimer's disease, and autism spectrum disorder benchmarks (F1-score of 96.28% on ADHD) while providing visual explanations of the brain regions driving each prediction.

Award Sep 03, 2026

Prof. Tamer Abuhmed selected for the 2026 SKKU Rising-Fellowship

We are proud to announce that Prof. Tamer Abuhmed, Director of InfoLab, has been selected as a recipient of the prestigious 2026 SKKU Rising-Fellowship — one of Sungkyunkwan University's most distinguished faculty honors, awarded this year to 12 professors in recognition of world-class research achievement and international scholarly impact. The award ceremony was held on September 3, 2026.

Publication Aug 22, 2026

Our paper GI-MIA has been accepted to the Findings of EMNLP 2026!

We are pleased to announce that our paper, 'GI-MIA: Group-Invariant Membership Inference Attacks Against Large Language Models,' has been accepted to the Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2026). The work introduces a novel attack that leverages semantic-preserving paraphrase orbits to reveal memorization in LLMs, achieving state-of-the-art results across the Pythia model family. Congratulations to Infolab team!

Award Aug 12, 2026

Award: Maria Bashir wins Most Distinguished Research Award

Congratulations to our doctoral student, Maria Bashir, for receiving the Most Distinguished Research Award (Spring 2026) from the College of Information & Communication Engineering at Sungkyunkwan University! We are incredibly proud of her outstanding research achievements.

New Member Jun 28, 2026

Welcome to InfoLab, Mironshoh!

We are delighted to welcome a new member to InfoLab! Mironshoh joins as an incoming combined M.S./Ph.D. student, bringing expertise in large language models, agantic AI, and trustworthy AI systems. We look forward to Mironshoh's contributions to our team!

Publication May 28, 2026

Our paper on a new framework for system-level convergence of IoMT, LLMs, and XAI for healthcare has been accepted to Information Fusion

We are pleased to announce that our paper, 'Toward Trustworthy Digital Healthcare: A System-Level Convergence of IoMT, Large Language Models, and Explainable AI,' has been accepted to Information Fusion — a top-tier journal in computer science with an Impact Factor of 15.5 and a JCR ranking in the top 1-2%. Congratulations to the team!

Publication May 27, 2026

Our paper on Explainable Ensemble Learning for Anxiety and Stress Detection has been accepted to Applied Soft Computing Journal

We are excited to announce that our paper, 'Explainable Ensemble Learning Framework for Anxiety and Stress Detection in Pediatric Sleep EEG,' has been accepted to Applied Soft Computing Journal (IF=6.6, JCR top 10%). Congratulations to the team on this important publication milestone!

Publication May 16, 2026

Our paper VisionDES has been accepted at ACM SIGKDD (KDD 2026)!

We are thrilled to announce that our paper, 'VisionDES: Robust and Explainable Dynamic Vision Ensemble,' has been accepted at the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2026) — one of the most prestigious and competitive venues in data mining and machine learning (BK=4). VisionDES is the first systematic dynamic ensemble selection framework for robust and explainable vision classification, improving reliability under adversarial attacks and distribution shifts. Congratulations to the team on this outstanding achievement!

New Member May 11, 2026

Welcome to InfoLab, Yakhyo and Shannon!

We are delighted to welcome two new members to InfoLab! Yakhyokhuja (Yakhyo) Valikhujaev joins as an incoming Ph.D. student, bringing expertise in large language models, multimodal AI, and trustworthy AI systems. Shannon Henry joins as a combined M.S./Ph.D. student, with a background in AI security, deep learning, and information security. We look forward to their contributions!

Publication Apr 09, 2026

Our paper on Personalized Vigilance Estimation has been accepted at CogSci 2026.

Our paper, 'KANformer: Personalized Vigilance Estimation with Transformer Features and Kolmogorov–Arnold Sequence Modeling,' has been accepted at CogSci 2026 with a highly competitive 9.3% acceptance rate. Congratulations to the team!

Publication Apr 08, 2026

Our paper on Dynamic Ensembles Multimodal Prediction accepted on ICPR 2026.

Our paper, "MM-DES: Enhancing Multimodal Clinical Prediction with Joint Contrastive Embeddings and Dynamic Ensembles," has been accepted at the 28th International Conference on Pattern Recognition (ICPR 2026). Congratulations to the team!

Publication Apr 01, 2026

Our new paper on trustworthy medical diagnosis published in Engineering Applications of Artificial Intelligence.

Our new paper on Trustworthy Alzheimer's diagnosis has been published in Engineering Applications of Artificial Intelligence (JCR top 2%). Congratulations to the team!

2025 11 updates

Publication Dec 19, 2025

A Deep Dive into Function Inlining and its Security Implications for ML-based Binary Analysis

Our paper has been accepted at the Network and Distributed System Security Symposium (NDSS 2026).

Publication Oct 15, 2025

(AdvChar) Attacking Interpretable NLP Systems

Our paper is published in IEEE Transactions on Information Forensics and Security.

New Member Aug 22, 2025

Welcome new lab members; Leila Shakuova, Abdulrahman Al-Sharabati, and Zichen Song

We are excited to welcome Leila, Abdulrahman, and Zichen as new graduate students joining our lab. Looking forward to their contributions and collaborations!

Publication Jul 22, 2025

Exposing Deep Vulnerabilities in Interpretable NLP Systems

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.

Publication Jul 21, 2025

AdViT; Breaking Vision Transformers and Their Interpreters

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.

Publication May 20, 2025

Chronic Kidney Disease Detection Augmented with Hybrid Explainable AI

Our paper was presented at the 15th International Conference on Electrical Engineering (ICEENG 2025).

Publication Apr 02, 2025

Stealthy Query-Efficient Opaque Attack Against Interpretable Deep Learning

Our paper was published in IEEE Transactions on Reliability.

Publication Feb 01, 2025

Sustainable energy management in the AI era; a comprehensive analysis of ML and DL approaches

Our paper was published in *Computing* (Vol. 107, Issue 6, p.132).

Patent Jan 22, 2025

IoT-based approach method for learning geometric shapes in early childhood and device thereof

Our patent application was submitted to the US Patent Office (App. No. 18/821,509).

Patent Jan 15, 2025

Semantic information retrieval method for augmented reality domain and device thereof

Our patent application was submitted to the US Patent Office (App. No. 18/818,158).

Publication Jan 03, 2025

Towards Robust Federated Learning Investigating Poisoning Attacks Under Clients Data Heterogeneity

Our paper was published in the 2025 19th International Conference on Ubiquitous Information Management and Communication (IMCOM).

2024 5 updates

Publication Oct 25, 2024

Explainable Multi-Layer Dynamic Ensemble Framework Optimized for Depression Detection and Severity Assessment

Our paper was published in Diagnostics journal.

Publication Sep 24, 2024

Smart Collaborative Intrusion Detection System for Securing Vehicular Networks Using Ensemble Machine Learning Model

Our paper was published in Information journal.

New Member Sep 01, 2024

New team members joining

New researcher joined our team at InfoLab, Welcome Shatha!

New Member Sep 01, 2024

New team members joining

New researcher joined our team at InfoLab, Welcome Bobonazar!

New Member Mar 01, 2024

New team members joining

New researcher joined our team at InfoLab, Welcome Abdenour!

2023 9 updates

Publication Dec 02, 2023

Hardening Interpretable Deep Learning Systems Investigating Adversarial Threats and Defenses

Our paper was accepted at IEEE Transactions on Dependable and Secure Computing (TDSC)

New Member Sep 01, 2023

New team members joining

New researchers joined our team at InfoLab, Welcome Chensheng 'Chris' and Shweta!

Publication Apr 18, 2023

Explainable AI for Trustworthy AI

Our paper on Explainable Artificial Intelligence is available online at Information Fusion Journal (IF:17.56)

Publication Mar 23, 2023

Early Prediction of Parkinson's Disease

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)

Publication Mar 20, 2023

Toward Comprehensive Chronic Kidney Disease Prediction Based on Ensemble Deep Learning Models

Our paper was published in Applied Sciences journal.

New Member Feb 20, 2023

New team member joining

New researcher joined our team at InfoLab, Welcome Amir!

Publication Jan 29, 2023

Predicting CTS Diagnosis and Prognosis Based on Machine Learning Techniques

Our paper was published in Diagnostics journal.

Publication Jan 16, 2023

Anatomical Structure Segmentation in X-ray

Our paper on anatomical structure segmentation in chest X-ray images is available at Scientific Reports (Nature)

Publication Jan 03, 2023

A Holistic Approach to Identify and Classify COVID-19 from Chest Radiographs, ECG, and CT-Scan Images Using ShuffleNet Convolutional Neural Network

Our paper was published in Diagnostics journal.

2022 8 updates

Publication Dec 05, 2022

Prediction of Alzheimer's Progression

Our paper using multimodal deep learning is available at Information Fusion Journal (IF:17.56)

Publication Nov 28, 2022

Colon Cancer Diagnosis Based on Machine Learning and Deep Learning Modalities and Analysis Techniques

Our paper was published in Sensors journal.

Publication Sep 27, 2022

AHA-AO Artificial Hummingbird Algorithm with Aquila Optimization for Efficient Feature Selection in Medical Image Classification

Our paper was published in Applied Sciences journal.

New Member Sep 13, 2022

New team member joining

New researcher joined our team at InfoLab, Welcome Haseeb!

Publication Sep 01, 2022

Bug Bounty Competition at SKKU

Our lab member Omar got 2nd place in the SKKU Bug Bounty competition

Publication May 22, 2022

Sentiment Analysis of Users Reactions on Social Media during the Pandemic

Our paper was published in Electronics journal.

Publication Mar 01, 2022

MLxPack; Investigating Packers' Effect on Malware Detection

Our paper was accepted at CySSS workshop, ACM ASIACCS 2022

Publication Feb 27, 2022

Flow Behavior of Mg Alloy using ML

Our fourth collaborative paper with Hamad's Lab is published in Mathematics journal

2021 12 updates

Publication Dec 18, 2021

Uzbek Researchers Competition

Firuz Juraev won 1st place in IT section at World Association of Youth of Uzbekistan in Korea

Publication Dec 04, 2021

Optimizing Adversarial Perturbations

Our paper at CSoNET 2021 is available online

Publication Nov 17, 2021

Design of Hard Materials Using ML

Our third collaborative paper with Hamad's Lab is now online

Publication Nov 15, 2021

AdvEdge; Adversarial Perturbations for Interpretable DL

Eldor presented our work at CSoNET 2021, Canada

Publication Nov 03, 2021

Sepsis Prediction in ICU

Our paper is published in Neural Computing and Applications Journal

Publication Sep 28, 2021

Discovering Hard Materials

Our second paper with Hamad's Lab is now online

New Member Sep 01, 2021

New team member joining

New researcher joined our team at InfoLab, Welcome Omar!

Publication Aug 24, 2021

Alzheimer's Diagnosis Using Semantic Rule-Based Modeling

Paper available in CMC-Computers, Materials & Continua journal

Publication Jul 19, 2021

Robust Code Authorship Identification

Paper published in ACM Transactions on Privacy and Security

Publication Jul 19, 2021

An Extended Semantic Interoperability Model for Distributed Electronic Health Record Based on Fuzzy Ontology Semantics

Our paper was published in Electronics journal.

Publication Jun 21, 2021

Android Malware Analysis

Paper on classification and analysis of Android malware is available online

New Member Feb 25, 2021

New team member joining

New researcher joined our team at InfoLab, Welcome Sajid!

2020 4 updates

Publication Dec 25, 2020

Hybrid Deep Learning for Alzheimer's

Paper available in Knowledge-Based Systems journal

Publication Nov 20, 2020

ML-aided Design of Aluminum Alloys

First collaborative paper with Hamad's Lab is now online

New Member Sep 01, 2020

New team members joining

New researchers joined our team at InfoLab, Welcome Firuz, Junaid, and Nasir!

New Member Feb 25, 2020

New team members joining

New researchers joined our team at InfoLab, Welcome Eldor and Sun!

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