Skip to main content
  • Team Machine Learning Security

  • Posted in Research Teams :

    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.

Copyright © Purdue University, all rights reserved. Purdue University is an equal access/equal opportunity university.

Contact the College of Science at sciencehelp@purdue.edu for trouble accessing this page. Made possible by grant NSF CCF-0939370