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Found 4 papers, 1 papers with code
RAILS: A Robust Adversarial Immune-inspired Learning System
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 novel pathogens.
Immuno-mimetic Deep Neural Networks (Immuno-Net)
This immuno-mimetic model leads to a new computational biology framework for robustification of deep neural networks against adversarial attacks.
RAILS: A Robust Adversarial Immune-inspired Learning System
RAILS incorporates an Adaptive Immune System Emulation (AISE), which emulates in silico the biological mechanisms that are used to defend the host against attacks by pathogens.
Understanding Memory B Cell Selection
However, memory B cells appear to be purposely selected earlier in the affinity maturation process and have lower affinity.
