Welcome to InfoLab!
InfoLab is a research group pushing the boundaries of security and machine learning, especially in bioinformatics and biomedical discovery.
Part of the College of Computing and Informatics at Sungkyunkwan University (SKKU).
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Personalized Vigilance Estimation with Transformer Features and Kolmogorov–Arnold Sequence Modeling
April 09, 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!
MM-DES: Enhancing Multimodal Clinical Prediction with Joint Contrastive Embeddings and Dynamic Ensembles
April 08, 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!
Trustworthy Alzheimer's diagnosis: Integrating robustness, fairness, and explainability in neuroimaging based deep ensemble framework
April 01, 2026
Our new paper on Trustworthy Alzheimer's diagnosis has been published in Engineering Applications of Artificial Intelligence (JCR top 2%). Congratulations to the team!
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A Deep Dive into Function Inlining and its Security Implications for ML-based Binary Analysis
December 19, 2025
Our paper has been accepted at the Network and Distributed System Security Symposium (NDSS 2026).
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(AdvChar) Attacking Interpretable NLP Systems
October 15, 2025
Our paper is published in IEEE Transactions on Information Forensics and Security.
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