Adversarial machine learning

Adversarial machine learning is a type of artificial intelligence (AI) technique that makes computers think like humans. In this type of machine learning, computers learn from examples, such as pictures and instructions, and then use that data to make decisions – similar to how people learn. In adversarial machine learning, two computer programs compete against each other in order to make better decisions. One computer program tries to confuse the other with data that is not right and the other program has to figure out the right answer. By competing against each other, the computer programs become smarter and better at making decisions.