Applying Machine Learning to Analyze Anti-Vaccination on Tweets. - Maryam Taeb; Hongmei Chi; Jie Yan (IEEE BigData, 2021)

A Personalized Learning Framework for Software Vulnerability Detection and Education. - Maryam Taeb; Hongmei Chi (ISCSIC, 2021)

Investigating Gender and Racial Bias in ELECTRA. - Maryam Taeb; Yonathan Torres; Hongmei Chi; Shonda Bernadin (CSCI, 2022)

Integrating Blockchain Technology into Cybersecurity Education. - Janei Elliston; Hongmei Chi; Shonda Bernadin; Maryam Taeb (FTC (2), 2022)

Targeted Data Extraction and Deepfake Detection with Blockchain Technology. - Maryam Taeb; Hongmei Chi; Shonda Bernadin (UV, 2022)

Digital Evidence Acquisition and Deepfake Detection with Decentralized Applications. - Maryam Taeb; Hongmei Chi; Shonda Bernadin (PEARC, 2022)

Comparison of Deepfake Detection Techniques through Deep Learning. - Maryam Taeb; Hongmei Chi (J. Cybersecur. Priv., 2022)

Developing Hands-on Labs for Source Code Vulnerability Detection with AI. - Maryam Taeb (CoRR, 2023)

Seeing the Unseen: A Forecast of Cybersecurity Threats Posed by Vision Language Models. - Maryam Taeb; Judy Wang; Mark H. Weatherspoon; Shonda Bernadin; Hongmei Chi (IEEE Big Data, 2024)

AXNav: Replaying Accessibility Tests from Natural Language. - Maryam Taeb; Amanda Swearngin; Eldon Schoop; Ruijia Cheng; Yue Jiang 002; Jeffrey Nichols 001 (CHI, 2024)

Forensic Investigation of Synthetic Voice Spoofing Detection in Social App. - Inioluwa Kola-Adelakin; Maryam Taeb; Hongmei Chi (ACM Southeast Regional Conference, 2025)

Academic Advising Chatbot Powered with AI Agent. - Michael Tamascelli; Olivia Bunch; Blake Fowler; Maryam Taeb; Achraf Cohen (ACM Southeast Regional Conference, 2025)