Maria Mahbub
Orcid: 0000-0002-3422-9650
According to our database1,
Maria Mahbub authored at least 18 papers
between 2020 and 2026.
Collaborative distances:
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Timeline
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Bibliography
2026
The Compressive Knowledge Graph Hypothesis: Which Graph Facts Matter for Scientific Hypothesis Generation?
CoRR, May, 2026
A Multi-Stage Validation Framework for Trustworthy Large-scale Clinical Information Extraction using Large Language Models.
CoRR, April, 2026
Leveraging large language models to automate the identification of healthcare access barriers for veterans.
Int. J. Medical Informatics, 2026
2025
ORCHID: Orchestrated Retrieval-Augmented Classification with Human-in-the-Loop Intelligent Decision-Making for High-Risk Property.
CoRR, November, 2025
HEMERA: A Human-Explainable Transformer Model for Estimating Lung Cancer Risk using GWAS Data.
CoRR, October, 2025
Adaptive anomaly detection for identifying attacks in cyber-physical systems: A systematic literature review.
Artif. Intell. Rev., September, 2025
2024
A Compound Data Poisoning Technique with Significant Adversarial Effects on Transformer-based Sentiment Classification Tasks.
ACM J. Data Inf. Qual., December, 2024
Hiding-in-Plain-Sight (HiPS) Attack on CLIP for Targetted Object Removal from Images.
CoRR, 2024
Leveraging Large Language Models to Extract Information on Substance Use Disorder Severity from Clinical Notes: A Zero-shot Learning Approach.
CoRR, 2024
Semantic Stealth: Crafting Covert Adversarial Patches for Sentiment Classifiers Using Large Language Models.
Proceedings of the 2024 Workshop on Artificial Intelligence and Security, 2024
2023
Question-Answering System Extracts Information on Injection Drug Use from Clinical Progress Notes.
CoRR, 2023
cpgQA: A Benchmark Dataset for Machine Reading Comprehension Tasks on Clinical Practice Guidelines and a Case Study Using Transfer Learning.
IEEE Access, 2023
2022
BioADAPT-MRC: adversarial learning-based domain adaptation improves biomedical machine reading comprehension task.
Bioinform., 2022
Improving Efficiency and Robustness of Transformer-based Information Retrieval Systems.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
2021
The Sensitivity of Word Embeddings-based Author Detection Models to Semantic-preserving Adversarial Perturbations.
CoRR, 2021
Nomen est Omen - The Role of Signatures in Ascribing Email Author Identity with Transformer Neural Networks.
Proceedings of the IEEE Security and Privacy Workshops, 2021
2020
Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2020