  To accelerate research on adversarial examples and robustness of machine
learning classifiers, Google Brain organized a NIPS 2017 competition that
encouraged researchers to develop new methods to generate adversarial examples
as well as to develop new ways to defend against them. In this chapter, we
describe the structure and organization of the competition and the solutions
developed by several of the top-placing teams.
