SHIELD: A Framework for Efficient and Secure Machine Learning Classification in Constrained Environments

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All :: Mähönen, ... , Mengi, Metzke, Meyer, ... , Munawar

2018
3.	Jan Henrik Ziegeldorf, Jan Metzke, and Klaus Wehrle SHIELD: A Framework for Efficient and Secure Machine Learning Classification in Constrained Environments Proceedings of the 34rd Annual Computer Security Applications Conference, page 1-15. Publisher: ACM, New York, NY, USA December 2018 DOI: 10.1145/3274694.3274716
2017
2.	Jan Henrik Ziegeldorf, Jan Metzke, Jan Rüth, Martin Henze, and Klaus Wehrle Privacy-Preserving HMM Forward Computation Proceedings of the 7th ACM Conference on Data and Application Security and Privacy (CODASPY 2017), Scottsdale, AZ, USA, page 83-94. Publisher: ACM, March 2017 DOI: 10.1145/3029806.3029816 ISBN: 978-1-4503-4523-1
2015
1.	Jan Henrik Ziegeldorf, Jan Metzke, Martin Henze, and Klaus Wehrle Choose Wisely: A Comparison of Secure Two-Party Computation Frameworks 2015 International Workshop on Privacy Engineering (IWPE'15), part of 2015 IEEE Security and Privacy Workshops (SPW 2015), San Jose, CA, USA, page 198-205. Publisher: IEEE, May 2015 DOI: 10.1109/SPW.2015.9

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