On the Robustness of the Backdoor-based Watermarking in Deep Neural Networks

Obtaining the state of the art performance of deep learning models imposes a high cost to model generators, due to the tedious data preparation and the substantial processing requirements. To protect the model from unauthorized re-distribution, watermarking approaches have been introduced in the pas...

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Veröffentlicht in:	arXiv.org 2019-11
Hauptverfasser:	Shafieinejad, Masoumeh, Wang, Jiaqi, Lukas, Nils, Li, Xinda, Kerschbaum, Florian
Format:	Artikel
Sprache:	eng
Schlagworte:	Machine learning Network reliability Neural networks Robustness Watermarking
Online-Zugang:	Volltext
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