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Abstract

A method and an apparatus for actively defending against backdoor attacks under an edge computing scenario. The method includes: generating an initial optional operation set based on optional operations configured to enhance a model generalization ability, and constructing a configuration parameter set for each operation in the set; selecting a first subset with a curve between configuration parameters and model accuracies of the operation presenting a monotonically decreasing concave function characteristic; selecting a second subset with a curve of the operation between configuration parameters and probabilities that a model is successfully attacked by the backdoor attack presenting a monotonically decreasing convex function characteristic; constructing a mutation characteristic set for each operation in an intersection of the first and second subsets; and for each operation in the intersection, determining a final parameter setting value of the operation based on the mutation characteristic set, to actively defend against possible backdoor attacks.

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