JavaScript is disabled for your browser. Some features of this site may not work without it.
Browsing Computer Science Theses and Dissertations by Subject "Adversarial machine learning"
Navigation
Display Options
Results
Now showing items 1-3 of 3
-
(University of Oregon, 2014-09-29)Methods of compression-based text classification have proven their usefulness for various applications. However, in some classification problems, such as spam filtering, a classifier confronts one or many adversaries willing ...
-
(University of Oregon, 2016-11-21)Machine learning algorithms are invented to learn from data and to use data to perform predictions and analyses. Many agencies are now using machine learning algorithms to present services and to perform tasks that used ...
-
(University of Oregon, 2019-04-30)In the past few years, evaluating on adversarial examples has become a standard procedure to measure robustness of deep learning models. Literature on adversarial examples for neural nets has largely focused on image ...
Now showing items 1-3 of 3