Privacy-Preserving Cooperative Statistical Analysis

  title={Privacy-Preserving Cooperative Statistical Analysis},
  author={Wenliang Du and Mikhail J. Atallah},
The growth of the Internet opens up tremendous opportunities for cooperative computation, where the answer depends on the private inputs of separate entities. Sometimes these computations may occur between mutually untrusted entities. The problem is trivial if the context allows the conduct of these computations by a trusted entity that would know the inputs from all the participants; however if the context disallows this then the techniques of secure multi-party computation become very… CONTINUE READING
Highly Influential
This paper has highly influenced 13 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 393 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 144 extracted citations

394 Citations

Citations per Year
Semantic Scholar estimates that this publication has 394 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…