Brainiacs at Northeastern University, MIT, and IBM Research in the US teamed up to create the 1980s-esque fashion statement, according to a paper quietly emitted via arXiv in mid-October.
This means the wearer could slip past visitor or intruder detection systems, and so on.
That means the pattern on the shirt has been carefully designed to manipulate just the right parts of a detection system's neural network to make it misidentify the wearer.
“We highlight that the proposed adversarial T-shirt is not just a T-shirt with printed adversarial patch for clothing fashion, it is a physical adversarial wearable designed for evading person detectors in a real world,” the paper said.
In this case, the adversarial T-shirt helped a person evade detection.
The two convolutional neural networks tested, YOLOv2 and Faster R-CNN, have been trained to identify objects.