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Full-Text Articles in Physical Sciences and Mathematics
Protection Of Patient Privacy On Mobile Device Machine Learning, Matthew Nguyen
Protection Of Patient Privacy On Mobile Device Machine Learning, Matthew Nguyen
Cybersecurity Undergraduate Research Showcase
An existing StudentLife Study mobile dataset was evaluated and organized to be applied to different machine learning methods. Different variables like user activity, exercise, sleep, study space, social, and stress levels are optimized to train a model that could predict user stress level. The different machine learning methods would test if both patient data privacy and training efficiency can be ensured.
Tackling Ai Bias With Gans, Noam Stanislawski
Tackling Ai Bias With Gans, Noam Stanislawski
Cybersecurity Undergraduate Research Showcase
Throughout the relatively short history of artificial intelligence (AI), there has been a significant concern surrounding AI’s ability to incorporate and maintain certain characteristics which were not inherently modeled out in its coding. These behaviors stem from the prominent usage of neural network AI, which can inherit human biases from the input data it receives. This paper argues for two possible avenues to combat these biases. The first is to rethink the traditional framework for neural network projects and retool them to be usable by a Generative Adversarial Network (GAN). In a GAN’s zero-sum game, two network techniques can combat …