Latest publications, achievements, and announcements from our lab.
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.
Read moreWe 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!
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.
Read moreWe 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!
Read moreWe 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!
Read moreWe 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!
Read moreWe 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!
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!
Read moreOur 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!
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!
Our new paper on Trustworthy Alzheimer's diagnosis has been published in Engineering Applications of Artificial Intelligence (JCR top 2%). Congratulations to the team!
Read moreOur paper has been accepted at the Network and Distributed System Security Symposium (NDSS 2026).
Read moreOur paper is published in IEEE Transactions on Information Forensics and Security.
Read moreWe are excited to welcome Leila, Abdulrahman, and Zichen as new graduate students joining our lab. Looking forward to their contributions and collaborations!
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.
Read moreVision 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.
Read moreOur paper was presented at the 15th International Conference on Electrical Engineering (ICEENG 2025).
Read moreOur paper was published in IEEE Transactions on Reliability.
Read moreOur paper was published in *Computing* (Vol. 107, Issue 6, p.132).
Read moreOur patent application was submitted to the US Patent Office (App. No. 18/821,509).
Read moreOur patent application was submitted to the US Patent Office (App. No. 18/818,158).
Read moreOur paper was published in the 2025 19th International Conference on Ubiquitous Information Management and Communication (IMCOM).
Read moreOur paper was published in Diagnostics journal.
Read moreOur paper was published in Information journal.
Read moreNew researcher joined our team at InfoLab, Welcome Shatha!
New researcher joined our team at InfoLab, Welcome Bobonazar!
New researcher joined our team at InfoLab, Welcome Abdenour!
Our paper was accepted at IEEE Transactions on Dependable and Secure Computing (TDSC)
New researchers joined our team at InfoLab, Welcome Chensheng 'Chris' and Shweta!
Our paper on Explainable Artificial Intelligence is available online at Information Fusion Journal (IF:17.56)
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)
Our paper was published in Applied Sciences journal.
Read moreNew researcher joined our team at InfoLab, Welcome Amir!
Our paper was published in Diagnostics journal.
Read moreOur paper on anatomical structure segmentation in chest X-ray images is available at Scientific Reports (Nature)
Our paper was published in Diagnostics journal.
Read moreOur paper using multimodal deep learning is available at Information Fusion Journal (IF:17.56)
Our paper was published in Sensors journal.
Read moreOur paper was published in Applied Sciences journal.
Read moreNew researcher joined our team at InfoLab, Welcome Haseeb!
Our lab member Omar got 2nd place in the SKKU Bug Bounty competition
Our paper was published in Electronics journal.
Read moreOur paper was accepted at CySSS workshop, ACM ASIACCS 2022
Our fourth collaborative paper with Hamad's Lab is published in Mathematics journal
Firuz Juraev won 1st place in IT section at World Association of Youth of Uzbekistan in Korea
Our paper at CSoNET 2021 is available online
Our third collaborative paper with Hamad's Lab is now online
Eldor presented our work at CSoNET 2021, Canada
Our paper is published in Neural Computing and Applications Journal
Our second paper with Hamad's Lab is now online
New researcher joined our team at InfoLab, Welcome Omar!
Paper available in CMC-Computers, Materials & Continua journal
Paper published in ACM Transactions on Privacy and Security
Our paper was published in Electronics journal.
Read morePaper on classification and analysis of Android malware is available online
New researcher joined our team at InfoLab, Welcome Sajid!
Paper available in Knowledge-Based Systems journal
First collaborative paper with Hamad's Lab is now online
New researchers joined our team at InfoLab, Welcome Firuz, Junaid, and Nasir!
New researchers joined our team at InfoLab, Welcome Eldor and Sun!
No updates found for the selected filter.