Topic: random saccades

Deep neural networks (DNNs) are extremely vulnerable to adversarial attacks, where small changes to the input, unnoticeable to humans, can drastically alter the model’s predictions. One reason for their poor performance is that they process as much information as possible and make decisions based on the input received. Human vision performs differently. It tries be as efficient with information as possible while using predictions to fill in missing information based on existing knowledge. The brain may even suppress sensory input to save energy if it is familiar (i.e., predictable). As the kn