METHOD AND APPARATUS FOR EXTRACTING DATA IN DEEP LEARNING

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...

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Bibliographische Detailangaben
Hauptverfasser: JEONG, Hae Dong, CHOI, Jae Sik, JEON, Gi Young
Format: Patent
Sprache:eng ; fre ; ger
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Zusammenfassung: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.