Privacy-preserving linear programming

@inproceedings{Vaidya2009PrivacypreservingLP,
  title={Privacy-preserving linear programming},
  author={Jaideep Vaidya},
  booktitle={SAC},
  year={2009}
}
With the rapid increase in computing, storage and networking resources, data is not only collected and stored, but also analyzed. This creates a serious privacy problem which often inhibits the use of this data. In this paper, we focus on the problem of linear programming, which is the most important sub-class of optimization problems. We consider the case where the objective function and the constraints are partitioned between two parties with one party holding the objective while the other… CONTINUE READING
Highly Cited
This paper has 43 citations. REVIEW CITATIONS
Recent Discussions
This paper has been referenced on Twitter 2 times over the past 90 days. VIEW TWEETS

Citations

Publications citing this paper.
Showing 1-10 of 24 extracted citations

References

Publications referenced by this paper.
Showing 1-3 of 3 references

Similar Papers

Loading similar papers…