Brain-inspired reverse adversarial examples

Understand

A human does not have to see all elephants to recognize an animal as an elephant.

• On contrast, current state-of-the-art deep learning approaches heavily depend on the variety of training samples and the capacity of the network.
• In practice, the size of network is always limited and it is impossible to access all the data samples.
• Under this circumstance, deep learning models are extremely fragile to human-imperceivable adversarial examples, which impose threats to all safety critical systems.