"RSAC 2019: The Dark Side of Machine Learning"

Nicholas Carlini, a researcher at Google, gave an overview of the different types of adversarial attacks that can be launched against machine learning systems. These attacks could lead to the misclassification of images and sounds by machine learning systems. Carlini also highlighted the possible extraction of sensitive information from training data sets by adversaries.  This article continues to discuss the possible attacks on machine learning systems and the privacy of training data. 

Threatpost reports "RSAC 2019: The Dark Side of Machine Learning"