Maryam Taeb

According to our database, Maryam Taeb authored at least 15 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Privacy Concerns of AI-Based Surveillance Systems Under FERPA and Educational Privacy Laws.

Sabrina Hackman, Michelle Johnson, W. Chris Taylor, Anisha Yellamraju, Maryam Taeb

Proceedings of the 2026 ACM Southeast Conference, 2026

Trustworthiness of Vibe Coding from the NIST AI RMF Perspective.

Olivia Bunch, Maryam Taeb

Proceedings of the 2026 ACM Southeast Conference, 2026

2025

A Decentralized Approach to Deepfake Detection Using Blockchain-Based Federated Learning in Forensic Contexts.

Maryam Taeb, Shonda Bernadin, Hongmei Chi

Proceedings of the IEEE International Conference on Big Data, 2025

Academic Advising Chatbot Powered with AI Agent.

Michael Tamascelli, Olivia Bunch, Blake Fowler, Maryam Taeb, Achraf Cohen

Proceedings of the 2025 ACM Southeast Conference, 2025

Forensic Investigation of Synthetic Voice Spoofing Detection in Social App.

Inioluwa Kola-Adelakin, Maryam Taeb, Hongmei Chi

Proceedings of the 2025 ACM Southeast Conference, 2025

2024

AXNav: Replaying Accessibility Tests from Natural Language.

Maryam Taeb, Amanda Swearngin, Eldon Schoop, Ruijia Cheng, Yue Jiang, Jeffrey Nichols

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Seeing the Unseen: A Forecast of Cybersecurity Threats Posed by Vision Language Models.

Maryam Taeb, Judy Wang, Mark H. Weatherspoon, Shonda Bernadin, Hongmei Chi

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Developing Hands-on Labs for Source Code Vulnerability Detection with AI.

Maryam Taeb

CoRR, 2023

2022

Comparison of Deepfake Detection Techniques through Deep Learning.

Maryam Taeb, Hongmei Chi

J. Cybersecur. Priv., March, 2022

Digital Evidence Acquisition and Deepfake Detection with Decentralized Applications.

Maryam Taeb, Hongmei Chi, Shonda Bernadin

Proceedings of the PEARC '22: Practice and Experience in Advanced Research Computing, Boston, MA, USA, July 10, 2022

Targeted Data Extraction and Deepfake Detection with Blockchain Technology.

Maryam Taeb, Hongmei Chi, Shonda Bernadin

Proceedings of the 6th International Conference on Universal Village, 2022

Integrating Blockchain Technology into Cybersecurity Education.

Janei Elliston, Hongmei Chi, Shonda Bernadin, Maryam Taeb

Proceedings of the Future Technologies Conference, 2022

Investigating Gender and Racial Bias in ELECTRA.

Maryam Taeb, Yonathan Torres, Hongmei Chi, Shonda Bernadin

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2021

A Personalized Learning Framework for Software Vulnerability Detection and Education.

Maryam Taeb, Hongmei Chi

Proceedings of the 2021 International Symposium on Computer Science and Intelligent Control, 2021

Applying Machine Learning to Analyze Anti-Vaccination on Tweets.

Maryam Taeb, Hongmei Chi, Jie Yan

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021