RAILS: A Robust Adversarial Immune-inspired Learning System. (arXiv:2107.02840v2 [cs.NE] UPDATED)

Adversarial attacks against deep neural networks (DNNs) are continuously
evolving, requiring increasingly powerful defense strategies. We develop a
novel adversarial defense framework inspired by the adaptive immune system: the
Robust Adversarial Immune-inspired Learning System (RAILS). Initializing a
population of exemplars that is balanced across classes, RAILS starts from a
uniform label distribution that encourages diversity and uses an evolutionary
optimization process to adaptively adjust the predictive label distribution in
a manner that emulates the way the natural immune system recognizes …

arxiv learning rails