  We present a methodology for modifying the behavior of a classifier by
directly rewriting its prediction rules. Our approach requires virtually no
additional data collection and can be applied to a variety of settings,
including adapting a model to new environments, and modifying it to ignore
spurious features. Our code is available at
https://github.com/MadryLab/EditingClassifiers .
