The "universal adversarial preturbation" undetectably alters images so AI can't recognize them

In a newly revised paper in Computer Vision and Pattern Recognition, a group of French and Swiss computer science researchers show that "a very small perturbation vector that causes natural images to be misclassified with high probability" -- that is, a minor image transformation can beat machine learning systems nearly every time. Read the rest

Statcheck: a data-fakery algorithm that flagged 50,000 articles

Michèle B. Nuijten and co's statcheck program re-examines the datasets in peer-reviewed science and flags anomalies that are associated with fakery, from duplication of data to internal inconsistencies. Read the rest