When deep learning mistakes a coffee-maker for a cobra
(WorldNews Switzerland)

22.03.17- `Is this your sister?` That`s the kind of question asked by image-recognition systems, which are becoming increasingly prevalent in our everyday devices. They may soon be used for tumor detection and genomics, too. These systems rely on what is known as `deep-learning` architectures - an exciting new development in artificial learning. But EPFL researchers have revealed just how sensitive these systems actually are: a tiny universal perturbation applied across an image can throw off even the most sophisticated algorithms. Deep-learning systems, a major breakthrough in computer-based image recognition, are however surprisingly sensitive to minor changes in the data they analyze....