Maria Mahbub

Orcid: 0000-0002-3422-9650

According to our database1, Maria Mahbub authored at least 13 papers between 2020 and 2024.

Collaborative distances:

Timeline

2020
2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Compound Data Poisoning Technique with Significant Adversarial Effects on Transformer-based Sentiment Classification Tasks.
ACM J. Data Inf. Qual., December, 2024

Adaptive Anomaly Detection for Identifying Attacks in Cyber-Physical Systems: A Systematic Literature Review.
CoRR, 2024

Advancing NLP Security by Leveraging LLMs as Adversarial Engines.
CoRR, 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
The Transformers for Polystores - The Next Frontier for Polystore Research.
Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2020


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