Bio-inspired Robustness: A Review

Understand

Deep convolutional neural networks (DCNNs) have revolutionized computer vision and are often advocated as good models of the human visual system.

• However, there are currently many shortcomings of DCNNs, which preclude them as a model of human vision.
• For example, in the case of adversarial attacks, where adding small amounts of noise to an image, including an object, can lead to strong misclassification of that object.
• But for humans, the noise is often invisible.