The Transformers for Polystores - The Next Frontier for Polystore Research. - Edmon Begoli; Sudarshan Srinivasan; Maria Mahbub (Poly/DMAH@VLDB, 2020)

Nomen est Omen - The Role of Signatures in Ascribing Email Author Identity with Transformer Neural Networks. - Sudarshan Srinivasan; Edmon Begoli; Maria Mahbub; Kathryn Knight (SP (Workshops), 2021)

The Sensitivity of Word Embeddings-based Author Detection Models to Semantic-preserving Adversarial Perturbations. - Jeremiah Duncan; Fabian Fallas; Chris Gropp; Emily Herron; Maria Mahbub; Paula Olaya; Eduardo Ponce; Tabitha K. Samuel; Daniel Schultz; Sudarshan Srinivasan; Maofeng Tang; Viktor Zenkov; et al. (CoRR, 2021)

Improving Efficiency and Robustness of Transformer-based Information Retrieval Systems. - Edmon Begoli; Sudarshan Srinivasan; Maria Mahbub (SIGIR, 2022)

BioADAPT-MRC: adversarial learning-based domain adaptation improves biomedical machine reading comprehension task. - Maria Mahbub; Sudarshan Srinivasan; Edmon Begoli; Gregory D. Peterson (Bioinform., 2022)

cpgQA: A Benchmark Dataset for Machine Reading Comprehension Tasks on Clinical Practice Guidelines and a Case Study Using Transfer Learning. - Maria Mahbub; Edmon Begoli; Susana B. Martins; Alina Peluso; Suzanne Tamang; Gregory D. Peterson (IEEE Access, 2023)

Question-Answering System Extracts Information on Injection Drug Use from Clinical Progress Notes. - Maria Mahbub; Ian Goethert; Ioana Danciu; Kathryn Knight; Sudarshan Srinivasan; Suzanne Tamang; Karine Rozenberg-Ben-Dror; Hugo Solares; Susana B. Martins; Edmon Begoli; Gregory D. Peterson (CoRR, 2023)

Semantic Stealth: Crafting Covert Adversarial Patches for Sentiment Classifiers Using Large Language Models. - Camila Roa; Maria Mahbub; Sudarshan Srinivasan; Edmon Begoli; Amir Sadovnik (AISec@CCS, 2024)

Leveraging Large Language Models to Extract Information on Substance Use Disorder Severity from Clinical Notes: A Zero-shot Learning Approach. - Maria Mahbub; Gregory M. Dams; Sudarshan Srinivasan; Caitlin Rizy; Ioana Danciu; Jodie Trafton; Kathryn Knight (CoRR, 2024)

Hiding-in-Plain-Sight (HiPS) Attack on CLIP for Targetted Object Removal from Images. - Arka Daw; Megan Hong-Thanh Chung; Maria Mahbub; Amir Sadovnik (CoRR, 2024)

Advancing NLP Security by Leveraging LLMs as Adversarial Engines. - Sudarshan Srinivasan; Maria Mahbub; Amir Sadovnik (CoRR, 2024)

A Compound Data Poisoning Technique with Significant Adversarial Effects on Transformer-based Sentiment Classification Tasks. - Edmon Begoli; Maria Mahbub; Linsey Passarella; Sudarshan Srinivasan (ACM J. Data Inf. Qual., 2024)

Adaptive anomaly detection for identifying attacks in cyber-physical systems: A systematic literature review. - Pablo Moriano; Steven C. Hespeler; Mingyan Li; Maria Mahbub (Artif. Intell. Rev., 2025)