Ebuka J. Okpala
Welcome!
I currently work at Apple in the Siri organization where I work on software and machine learning systems that intend to improve the Siri experience in the home.
Prior to that, I completed my Ph.D. in Computer Science at Clemson University. My dissertation focused on offensive content detection on online social platforms. In my projects, I applied machine learning and natural language processing to detect offensive content and to understand and mitigate bias in offensive content detection models.
I also have a master's degree in Computer Science from Clemson University and a bachelor's degree in Computer Engineering from Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Publications and Posters
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Large Language Model Annotation Bias in Hate Speech Detection.
International AAAI Conference on Web and Social Media (ICWSM), 2025. -
Analyzing Offensive Content and Emotional Dynamics in Black Lives Matter Discourse on Twitter.
International AAAI Conference on Web and Social Media (ICWSM), 2025. -
AI-Cybersecurity Education Through Designing AI-based Cyberharassment Detection Lab.
The Journal of The Colloquium for Information Systems Security Education (CISSE), 2025 -
Analysis of COVID-19 Offensive Tweets and Their Targets.
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023. -
AAEBERT: Debiasing BERT-based Hate Speech Detection Models via Adversarial Learning.
International Conference on Machine Learning and Applications (ICMLA), 2022. -
COVID-HateBERT: a Pre-trained Language Model for COVID-19 related Hate Speech Detection.
International Conference on Machine Learning and Applications (ICMLA), 2021. -
COVID-19: A Pandemic of Anti-Asian Cyberhate.
Journal of Hate Studies (JHS), 2021. -
Understanding and Mitigating Biases in BERT-based Hate Speech Detection Models.
IEEE Secure Development Conference (SecDev), 2022 poster. -
BranchCorr: Detecting Incompatible Branch Behavior by Enforcing Branch Correlation Integrity.
IEEE Secure Development Conference (SecDev), 2019 poster.