Abstract: A liveness detection method includes acquiring a facial image of an object and a reference feature set that includes a plurality of reference features conforming to a pre-set feature distribution; extracting an image feature from the facial image, performing liveness feature mapping on the plurality of reference features to obtain a plurality of corresponding reference liveness features, performing, based on the plurality of reference liveness features, liveness discrimination on the image feature to obtain a discrimination result, performing, based on the image feature, distribution fitting on the plurality of reference features to obtain a distribution fitting result, and performing liveness detection on the object based on the discrimination result and the distribution fitting result.

Abstract: An image attack detection method includes: acquiring an image-to-be-detected, and performing global classification recognition based on the image-to-be-detected to obtain a global classification recognition result; performing local image extraction randomly based on the image-to-be-detected to obtain a target number of local images, the target number being obtained by calculation according to a defensive rate of a reference image corresponding to the image-to-be-detected; performing local classification recognition based on the target number of local images respectively to obtain respective local classification recognition results, and fusing the respective local classification recognition results to obtain a target classification recognition result; and detecting a similarity between the target classification recognition result and the global recognition result, and determining the image-to-be-detected as an attack image when the target classification recognition result and the global classification recognit