METHODS AND APPARATUS FOR EXTRACTING DATA IN DEEP NEURAL NETWORKS

摘要

Disclosed is a method and apparatus for extracting data in a deep learning model. The method includes receiving an input query, determining a first decision boundary set being a subset of a decision boundary set corresponding to a target layer of the deep learning model, extracting a decision region including the input query based on the first decision boundary set, and extracting data included in the decision region.