"How Malevolent Machine Learning Could Derail AI"

Dawn Song is a professor at UC Berkley whose focus is on the security risks associated with artificial intelligence (AI) and machine learning (ML). Song recently gave a presentation at EmTech Digital, an event created by MIT Technology Review, in which she emphasized the threat posed by the emergence of new techniques for probing and manipulating ML systems known as adversarial ML methods. Adversarial ML can reveal the information that an ML algorithm has been trained on, disrupt the proper functioning of an ML system, make an ML system produce specific types of outputs, and more. This article continues to discuss the concept behind adversarial ML, different projects in relation to adversarial ML, and the growing interest surrounding this area of ML. 

MIT Technology Review reports "How Malevolent Machine Learning Could Derail AI"