Wearing an adversarial patch can fool automated security cameras [Top 100 journal articles of 2019]

This article is part 11 (and the final part) of a series reviewing selected papers from Altmetric's list of the top 100 most-discussed scholarly works of 2019. Deep neural networks (DNNs) are a key pattern recognition technology used in artificial intelligence (AI). A DNN finds the correct mathematical manipulation to turn the input into the output, whether it be a linear relationship or a non-linear relationship1. For example, in the context of facial recognition, a DNN creates a range of outputs correctly corresponding to the range of different facial inputs. However, research shows that DNNs can be easily fooled2.