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  Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks

Orekondy, T., Schiele, B., & Fritz, M. (2020). Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks. In International Conference on Learning Representations. OpenReview.net.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0003-EC93-D Version Permalink: http://hdl.handle.net/21.11116/0000-0005-8E36-F
Genre: Conference Paper
Other : Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks
Latex : Prediction Poisoning: {T}owards Defenses Against {DNN} Model Stealing Attacks

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arXiv:1906.10908.pdf (Preprint), 6MB
 
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https://openreview.net/pdf?id=SyevYxHtDB (Preprint)
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 Creators:
Orekondy, Tribhuvanesh1, Author              
Schiele, Bernt1, Author              
Fritz, Mario2, Author              
Affiliations:
1Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 2019-06-262020
 Publication Status: Published online
 Pages: 17 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: orekondy20prediction
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Title: 8th International Conference on Learning Representations
Place of Event: Addis Ababa, Ethopia
Start-/End Date: 2020-04-26 - 2020-04-30

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Title: International Conference on Learning Representations
  Abbreviation : ICLR 2020
Source Genre: Proceedings
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Publ. Info: OpenReview.net
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: URI: https://iclr.cc/Conferences/2020