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  Towards Reverse-Engineering Black-Box Neural Networks

Oh, S. J., Schiele, B., & Fritz, M. (2019). Towards Reverse-Engineering Black-Box Neural Networks. In W. Samek, G. Montavon, A. Vedaldi, L. K. Hansen, & K.-R. Mülller (Eds.), Explainable AI: Interpreting, Explaining and Visualizing Deep Learning (pp. 121-144). Berlin: Springer. doi:10.1007/978-3-030-28954-6_7.

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 Creators:
Oh, Seong Joon1, Author           
Schiele, Bernt1, Author                 
Fritz, Mario1, Author           
Affiliations:
1Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society, ou_1116547              

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Language(s): eng - English
 Dates: 20192019
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Oh2019b
DOI: 10.1007/978-3-030-28954-6_7
 Degree: -

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Title: Explainable AI: Interpreting, Explaining and Visualizing Deep Learning
Source Genre: Book
 Creator(s):
Samek, Wojciech1, Editor
Montavon, Grégoire1, Editor
Vedaldi, Andrea1, Editor
Hansen, Lars Kai1, Editor
Mülller, Klaus-Robert1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 121 - 144 Identifier: ISBN: 978-3-030-28953-9
ISBN: 978-3-030-28954-6

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Title: Lecture Notes in Artificial Intelligence
  Abbreviation : LNAI
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 11700 Sequence Number: - Start / End Page: - Identifier: ISSN: 302-9743