Secure data types: a simple abstraction for confidentiality-preserving data analytics. Savvides, S., Stephen, J. J., Ardekani, M. S., Sundaram, V., & Eugster, P. In Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, September 24-27, 2017, pages 479–492, 2017. ACM.
Secure data types: a simple abstraction for confidentiality-preserving data analytics [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/cloud/SavvidesSASE17,
  author    = {Savvas Savvides and
               Julian James Stephen and
               Masoud Saeida Ardekani and
               Vinaitheerthan Sundaram and
               Patrick Eugster},
  title     = {Secure data types: a simple abstraction for confidentiality-preserving
               data analytics},
  booktitle = {Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa
               Clara, CA, USA, September 24-27, 2017},
  pages     = {479--492},
  publisher = {{ACM}},
  year      = {2017},
  url       = {https://doi.org/10.1145/3127479.3129256},
  doi       = {10.1145/3127479.3129256},
  timestamp = {Tue, 06 Nov 2018 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/conf/cloud/SavvidesSASE17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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