Knowledge inference for optimizing and enforcing secure computations. Piotr Mardziel, Michael Hicks, Jonathan Katz, Matthew Hammer, Aseem Rastogi, and Mudhakar Srivatsa. In Proceedings of the Annual Meeting of the US/UK International Technology Alliance, September 2013. This short paper consists of coherent excerpts from several prior papers.

We present several techniques that aim to compute the belief or knowledge a party might have about the values of hidden variables involved in the computation. These techniques can be used for enforcing knowledge-based security policies and for optimizing secure multiparty computations.

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@INPROCEEDINGS{mardziel13belief,
  AUTHOR = {Piotr Mardziel and Michael Hicks and Jonathan Katz and Matthew Hammer and Aseem Rastogi and Mudhakar Srivatsa},
  TITLE = {Knowledge inference for optimizing and enforcing secure computations},
  BOOKTITLE = {Proceedings of the Annual Meeting of the US/UK International Technology Alliance},
  NOTE = {This short paper consists of coherent excerpts from several prior papers},
  YEAR = 2013,
  MONTH = SEP
}

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