  Visual systems of primates are the gold standard of robust perception. There
is thus a general belief that mimicking the neural representations that
underlie those systems will yield artificial visual systems that are
adversarially robust. In this work, we develop a method for performing
adversarial visual attacks directly on primate brain activity. We then leverage
this method to demonstrate that the above-mentioned belief might not be well
founded. Specifically, we report that the biological neurons that make up
visual systems of primates exhibit susceptibility to adversarial perturbations
that is comparable in magnitude to existing (robustly trained) artificial
neural networks.
