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"The Feasibility of Deep Learning Use for Adversarial Model Extraction in ..."

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

Michal Choras, Marek Pawlicki, Rafal Kozik (2019)

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DOI: 10.1007/978-3-030-33617-2_36

access: closed

type: Conference or Workshop Paper

metadata version: 2022-01-03

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Michal Choras, Marek Pawlicki, Rafal Kozik:
The Feasibility of Deep Learning Use for Adversarial Model Extraction in the Cybersecurity Domain. IDEAL (2) 2019: 353-360

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