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Team Machine Learning Security
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Posted in
Research Teams
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Defending Large-Scale Distributed Machine Learning Against Adversarial Attacks
This team brings together students from computer science, electrical engineering, machine learning, signal processing, and computer engineering fields to address security issues of distributed databases and associated privacy issues. The team goal is to design algorithms as well as systems that will defend the large scale distributed machine learning against the known range of adversarial attacks. This team was active from September 1, 2016 to Current.