Throwing Darts in the Dark? Detecting Bots with Limited Data Using Neural Data Augmentation
ieee symposium on security and privacy, 2020.
Machine learning has been widely applied to building security applications. However, many machine learning models require the continuous supply of representative labeled data for training, which limits the modelsu0027 usefulness in practice. In this paper, we use bot detection as an example to explore the use of data synthesis to address ...More
Full Text (Upload PDF)
PPT (Upload PPT)