By Adam Conner-Simons for the Cornell Chronicle

Cornell Tech researchers have discovered a new type of online attack that can manipulate natural-language modeling systems and evade any known defense – with possible consequences ranging from modifying movie reviews to manipulating investment banks’ machine-learning models to ignore negative news coverage that would affect a specific company’s stock.