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Maryam Taeb
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2020 – today
- 2024
- [c7]Maryam Taeb
, Amanda Swearngin
AXNav: Replaying Accessibility Tests from Natural Language. CHI 2024: 962:1-962:16 - 2023
- [i2]Maryam Taeb:
Developing Hands-on Labs for Source Code Vulnerability Detection with AI. CoRR abs/2302.00750 (2023) - [i1]Maryam Taeb, Amanda Swearngin, Eldon Schoop, Ruijia Cheng, Yue Jiang, Jeffrey Nichols:
AXNav: Replaying Accessibility Tests from Natural Language. CoRR abs/2310.02424 (2023) - 2022
- [j1]Maryam Taeb
Comparison of Deepfake Detection Techniques through Deep Learning. J. Cybersecur. Priv. 2(1): 89-106 (2022) - [c6]Maryam Taeb
Investigating Gender and Racial Bias in ELECTRA. CSCI 2022: 127-133 - [c5]Janei Elliston, Hongmei Chi, Shonda Bernadin, Maryam Taeb
Integrating Blockchain Technology into Cybersecurity Education. FTC (2) 2022: 1-15 - [c4]Maryam Taeb
Targeted Data Extraction and Deepfake Detection with Blockchain Technology. UV 2022: 1-7 - [c3]Maryam Taeb
Digital Evidence Acquisition and Deepfake Detection with Decentralized Applications. PEARC 2022: 87:1-87:2 - 2021
- [c2]Maryam Taeb
Applying Machine Learning to Analyze Anti-Vaccination on Tweets. IEEE BigData 2021: 4426-4430 - [c1]Maryam Taeb
A Personalized Learning Framework for Software Vulnerability Detection and Education. ISCSIC 2021: 119-126
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