Improving the Fault Resilience of Neural Network Applications Through Security Mechanisms
Author:
Affiliation:
1. Politecnico di Torino,Department of Control and Computer Engineering,10129 Torino TO,Italy
2. University of Rennes, Inria, CNRS, IRISA,Rennes,France
3. Univ. Grenoble Alpes, CEA, List,F-38000 Grenoble,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9833552/9833556/09833562.pdf?arnumber=9833562
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5. Stealing Machine Learning Models via Prediction APIs;florian;25th USENIX Security Symposium,2016
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